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condense model information
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@ -644,7 +644,54 @@ it's a function of type `Callable[[Iterable[Any]], Iterable[Any]]`, but specific
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implementations can have other signatures, like
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`Callable[[Iterable[str]], Iterable[str]]`.
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### API Keys {id="api-keys"}
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### Models via REST API {id="models-rest"}
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These models all take the same parameters:
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Default depends on the specific model (cf. below) ~~str~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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| Model | Provider | Supported names | Default name |
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| ----------------------------- | --------- | ------------------------------------------------------------------------------------ | -------------------- |
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| `spacy.GPT-4.v1` | OpenAI | "gpt-4", "gpt-4-0314", "gpt-4-32k", "gpt-4-32k-0314" | gpt-4 |
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| `spacy.GPT-3-5.v1` | OpenAI | "gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-0613", "gpt-3.5-turbo-0613-16k" | "gpt-3.5-turbo" |
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| `spacy.Davinci.v1` | OpenAI | "davinci" | "davinci" |
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| `spacy.Text-Davinci.v1` | OpenAI | "text-davinci-003", "text-davinci-002" | "text-davinci-003" |
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| `spacy.Code-Davinci.v1` | OpenAI | "code-davinci-002" | "code-davinci-002" |
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| `spacy.Curie.v1` | OpenAI | "curie" | "curie" |
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| `spacy.Text-Curie.v1` | OpenAI | "text-curie-001" | "text-curie-001" |
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| `spacy.Babbage.v1` | OpenAI | "babbage" | "babbage" |
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| `spacy.Text-Babbage.v1` | OpenAI | "text-babbage-001" | "text-babbage-001" |
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| `spacy.Ada.v1` | OpenAI | "ada" | "ada" |
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| `spacy.Text-Ada.v1` | OpenAI | "text-ada-001" | "text-ada-001" |
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| `spacy.Command.v1` | Cohere | "command", "command-light", "command-light-nightly", "command-nightly" | "command" |
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| `spacy.Claude-2.v1` | Anthropic | "claude-2", "claude-2-100k" | "claude-2" |
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| `spacy.Claude-1.v1` | Anthropic | "claude-1", "claude-1-100k" | "claude-1" |
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| `spacy.Claude-1-0.v1` | Anthropic | "claude-1.0" | "claude-1.0" |
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| `spacy.Claude-1-2.v1` | Anthropic | "claude-1.2" | "claude-1.2" |
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| `spacy.Claude-1-3.v1` | Anthropic | "claude-1.3", "claude-1.3-100k" | "claude-1.3" |
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| `spacy.Claude-instant-1.v1` | Anthropic | "claude-instant-1", "claude-instant-1-100k" | "claude-instant-1" |
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| `spacy.Claude-instant-1-1.v1` | Anthropic | "claude-instant-1.1", "claude-instant-1.1-100k" | "claude-instant-1.1" |
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To use these models, make sure that you've [set the relevant API](#api-keys)
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keys as environment variables.
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> #### Example config:
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.GPT-4.v1"
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> name = "gpt-4"
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> config = {"temperature": 0.0}
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> ```
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#### API Keys {id="api-keys"}
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Note that when using hosted services, you have to ensure that the proper API
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keys are set as environment variables as described by the corresponding
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@ -670,506 +717,39 @@ and for Anthropic
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export ANTHROPIC_API_KEY="..."
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```
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### GPT-4 {id="gpt-4"}
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OpenAI's `gpt-4` model family.
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### Models via HuggingFace {id="models-hf"}
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#### spacy.GPT-4.v1 {id="gpt-4-v1"}
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These models all take the same parameters:
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> #### Example config:
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.GPT-4.v1"
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> name = "gpt-4"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. ~~str~~ |
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| `config_init` | Further configuration passed on to the construction of the model with `transformers.pipeline()`. Defaults to `{}`. ~~Dict[str, Any]~~ |
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| `config_run` | Further configuration used during model inference. Defaults to `{}`. ~~Dict[str, Any]~~ |
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| Argument | Description |
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| ----------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"gpt-4"`. ~~Literal["gpt-4", "gpt-4-0314", "gpt-4-32k", "gpt-4-32k-0314"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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| Model | Provider | Supported names | HF directory |
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| -------------------- | --------------- | -------------------------------------------------------------------------------------------------------- | -------------------------------------- |
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| `spacy.Dolly.v1` | Databricks | "dolly-v2-3b", "dolly-v2-7b", "dolly-v2-12b" | https://huggingface.co/databricks |
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| `spacy.Llama2.v1` | Meta AI | "Llama-2-7b-hf", "Llama-2-13b-hf", "Llama-2-70b-hf" | https://huggingface.co/meta-llama |
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| `spacy.Falcon.v1` | TII | "falcon-rw-1b", "falcon-7b", "falcon-7b-instruct", "falcon-40b-instruct" | https://huggingface.co/tiiuae |
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| `spacy.StableLM.v1` | Stability AI | "stablelm-base-alpha-3b", "stablelm-base-alpha-7b", "stablelm-tuned-alpha-3b", "stablelm-tuned-alpha-7b" | https://huggingface.co/stabilityai |
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| `spacy.OpenLLaMA.v1` | OpenLM Research | "open_llama_3b", "open_llama_7b", "open_llama_7b_v2", "open_llama_13b" | https://huggingface.co/openlm-research |
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### GPT-3-5 {id="gpt-3-5"}
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See the "HF directory" for more details on each of the models.
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OpenAI's `gpt-3-5` model family.
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#### spacy.GPT-3-5.v1 {id="gpt-3-5-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.GPT-3-5.v1"
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> name = "gpt-3.5-turbo"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"gpt-3.5-turbo"`. ~~Literal["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-0613", "gpt-3.5-turbo-0613-16k"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Text-Davinci {id="text-davinci"}
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OpenAI's `text-davinci` model family.
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#### spacy.Text-Davinci.v1 {id="text-davinci-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Text-Davinci.v1"
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> name = "text-davinci-003"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"text-davinci-003"`. ~~Literal["text-davinci-002", "text-davinci-003"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Code-Davinci {id="code-davinci"}
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OpenAI's `code-davinci` model family.
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#### spacy.Code-Davinci.v1 {id="code-davinci-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Code-Davinci.v1"
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> name = "code-davinci-002"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"code-davinci-002"`. ~~Literal["code-davinci-002"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Text-Curie {id="text-curie"}
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OpenAI's `text-curie` model family.
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#### spacy.Text-Curie.v1 {id="text-curie-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Text-Curie.v1"
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> name = "text-curie-001"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"text-curie-001"`. ~~Literal["text-curie-001"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Text-Babbage {id="text-babbage"}
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OpenAI's `text-babbage` model family.
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#### spacy.Text-Babbage.v1 {id="text-babbage-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Text-Babbage.v1"
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> name = "text-babbage-001"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"text-babbage-001"`. ~~Literal["text-babbage-001"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Text-Ada {id="text-ada"}
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OpenAI's `text-ada` model family.
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#### spacy.Text-Ada.v1 {id="text-ada-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Text-Ada.v1"
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> name = "text-ada-001"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"text-ada-001"`. ~~Literal["text-ada-001"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Davinci {id="davinci"}
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OpenAI's `davinci` model family.
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#### spacy.Davinci.v1 {id="davinci-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Davinci.v1"
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> name = "davinci"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"davinci"`. ~~Literal["davinci"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Curie {id="curie"}
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OpenAI's `curie` model family.
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#### spacy.Curie.v1 {id="curie-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Curie.v1"
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> name = "curie"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"curie"`. ~~Literal["curie"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Babbage {id="babbage"}
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OpenAI's `babbage` model family.
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#### spacy.Babbage.v1 {id="babbage-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Babbage.v1"
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> name = "babbage"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"babbage"`. ~~Literal["babbage"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Ada {id="ada"}
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OpenAI's `ada` model family.
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#### spacy.Ada.v1 {id="ada-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Ada.v1"
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> name = "ada"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"ada"`. ~~Literal["ada"]~~ |
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| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
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| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
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| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
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| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
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### Command {id="command"}
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Cohere's `command` model family.
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#### spacy.Command.v1 {id="command-v1"}
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> #### Example config
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>
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> ```ini
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> [components.llm.model]
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> @llm_models = "spacy.Command.v1"
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> name = "command"
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> config = {"temperature": 0.0}
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> ```
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| Argument | Description |
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"command"`. ~~Literal["command", "command-light", "command-light-nightly", "command-nightly"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
### Claude-2 {id="claude-2"}
|
||||
|
||||
Anthropic's `claude-2` model family.
|
||||
|
||||
#### spacy.Claude-2.v1 {id="claude-2-v1"}
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Claude-2.v1"
|
||||
> name = "claude-2"
|
||||
> config = {"temperature": 0.0}
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"claude-2"`. ~~Literal["claude-2", "claude-2-100k"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
### Claude-1 {id="claude-1"}
|
||||
|
||||
Anthropic's `claude-1` model family.
|
||||
|
||||
#### spacy.Claude-1.v1 {id="claude-1-v1"}
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Claude-1.v1"
|
||||
> name = "claude-1"
|
||||
> config = {"temperature": 0.0}
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"claude-1"`. ~~Literal["claude-1", "claude-1-100k"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
### Claude-instant-1 {id="claude-instant-1"}
|
||||
|
||||
Anthropic's `claude-instant-1` model family.
|
||||
|
||||
#### spacy.Claude-instant-1.v1 {id="claude-instant-1-v1"}
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Claude-instant-1.v1"
|
||||
> name = "claude-instant-1"
|
||||
> config = {"temperature": 0.0}
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"claude-instant-1"`. ~~Literal["claude-instant-1", "claude-instant-1-100k"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
### Claude-instant-1-1 {id="claude-instant-1-1"}
|
||||
|
||||
Anthropic's `claude-instant-1.1` model family.
|
||||
|
||||
#### spacy.Claude-instant-1-1.v1 {id="claude-instant-1-1-v1"}
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Claude-instant-1-1.v1"
|
||||
> name = "claude-instant-1.1"
|
||||
> config = {"temperature": 0.0}
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"claude-instant-1.1"`. ~~Literal["claude-instant-1.1", "claude-instant-1.1-100k"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
#### Claude-1-0 {id="claude-1-0"}
|
||||
|
||||
Anthropic's `claude-1.0` model family.
|
||||
|
||||
#### spacy.Claude-1-0.v1 {id="claude-1-0-v1"}
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Claude-1-0.v1"
|
||||
> name = "claude-1.0"
|
||||
> config = {"temperature": 0.0}
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"claude-1.0"`. ~~Literal["claude-1.0"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
#### Claude-1-2 {id="claude-1-2"}
|
||||
|
||||
Anthropic's `claude-1.2` model family.
|
||||
|
||||
#### spacy.Claude-1-2.v1 {id="claude-1-2-v1"}
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Claude-1-2.v1 "
|
||||
> name = "claude-1.2"
|
||||
> config = {"temperature": 0.0}
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"claude-1.2"`. ~~Literal["claude-1.2"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
#### Claude-1-3 {id="claude-1-3"}
|
||||
|
||||
Anthropic's `claude-1.3` model family.
|
||||
|
||||
#### spacy.Claude-1-3.v1 {id="claude-1-3-v1"}
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Claude-1-3.v1"
|
||||
> name = "claude-1.3"
|
||||
> config = {"temperature": 0.0}
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | Model name, i. e. any supported variant for this particular model. Defaults to `"claude-1.3"`. ~~Literal["claude-1.3", "claude-1.3-100k"]~~ |
|
||||
| `config` | Further configuration passed on to the model. Defaults to `{}`. ~~Dict[Any, Any]~~ |
|
||||
| `strict` | If `True`, raises an error if the LLM API returns a malformed response. Otherwise, return the error responses as is. Defaults to `True`. ~~bool~~ |
|
||||
| `max_tries` | Max. number of tries for API request. Defaults to `3`. ~~int~~ |
|
||||
| `timeout` | Timeout for API request in seconds. Defaults to `30`. ~~int~~ |
|
||||
|
||||
### Dolly {id="dolly"}
|
||||
|
||||
Databrick's open-source `Dolly` model family.
|
||||
|
||||
#### spacy.Dolly.v1 {id="dolly-v1"}
|
||||
|
||||
To use this model, ideally you have a GPU enabled and have installed
|
||||
`transformers`, `torch` and CUDA in your virtual environment. This allows you to
|
||||
have the setting `device=cuda:0` in your config, which ensures that the model is
|
||||
loaded entirely on the GPU (and fails otherwise).
|
||||
|
||||
You can do so with
|
||||
|
||||
```shell
|
||||
python -m pip install "spacy-llm[transformers]" "transformers[sentencepiece]"
|
||||
```
|
||||
|
||||
If you don't have access to a GPU, you can install `accelerate` and
|
||||
set`device_map=auto` instead, but be aware that this may result in some layers
|
||||
getting distributed to the CPU or even the hard drive, which may ultimately
|
||||
result in extremely slow queries.
|
||||
|
||||
```shell
|
||||
python -m pip install "accelerate>=0.16.0,<1.0"
|
||||
```
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Dolly.v1"
|
||||
> name = "dolly-v2-3b"
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | The name of a Dolly model that is supported (e. g. "dolly-v2-3b" or "dolly-v2-12b"). ~~Literal["dolly-v2-3b", "dolly-v2-7b", "dolly-v2-12b"]~~ |
|
||||
| `config_init` | Further configuration passed on to the construction of the model with `transformers.pipeline()`. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
| `config_run` | Further configuration used during model inference. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
|
||||
Supported models (see the
|
||||
[Databricks models page](https://huggingface.co/databricks) on Hugging Face for
|
||||
details):
|
||||
|
||||
- `"databricks/dolly-v2-3b"`
|
||||
- `"databricks/dolly-v2-7b"`
|
||||
- `"databricks/dolly-v2-12b"`
|
||||
|
||||
Note that Hugging Face will download this model the first time you use it - you
|
||||
Note that Hugging Face will download the model the first time you use it - you
|
||||
can
|
||||
[define the cached directory](https://huggingface.co/docs/huggingface_hub/main/en/guides/manage-cache)
|
||||
by setting the environmental variable `HF_HOME`.
|
||||
|
||||
### Llama2 {id="llama2"}
|
||||
|
||||
Meta AI's open-source `Llama2` model family.
|
||||
#### Installation with HuggingFace {id="install-hf"}
|
||||
|
||||
#### spacy.Llama2.v1 {id="llama2-v1"}
|
||||
|
||||
To use this model, ideally you have a GPU enabled and have installed
|
||||
`transformers`, `torch` and CUDA in your virtual environment. This allows you to
|
||||
have the setting `device=cuda:0` in your config, which ensures that the model is
|
||||
loaded entirely on the GPU (and fails otherwise).
|
||||
To use models from HuggingFace, ideally you have a GPU enabled and have
|
||||
installed `transformers`, `torch` and CUDA in your virtual environment. This
|
||||
allows you to have the setting `device=cuda:0` in your config, which ensures
|
||||
that the model is loaded entirely on the GPU (and fails otherwise).
|
||||
|
||||
You can do so with
|
||||
|
||||
|
|
@ -1186,171 +766,6 @@ result in extremely slow queries.
|
|||
python -m pip install "accelerate>=0.16.0,<1.0"
|
||||
```
|
||||
|
||||
Note that the chat models variants of Llama 2 are currently not supported. This
|
||||
is because they need a particular prompting setup and don't add any discernible
|
||||
benefits in the use case of `spacy-llm` (i. e. no interactive chat) compared the
|
||||
completion model variants.
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Llama2.v1"
|
||||
> name = "llama2-7b-hf"
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `name` | The name of a Llama 2 model variant that is supported. Defaults to `"Llama-2-7b-hf"`. ~~Literal["Llama-2-7b-hf", "Llama-2-13b-hf", "Llama-2-70b-hf"]~~ |
|
||||
| `config_init` | Further configuration passed on to the construction of the model with `transformers.pipeline()`. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
| `config_run` | Further configuration used during model inference. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
|
||||
Note that Hugging Face will download this model the first time you use it - you
|
||||
can
|
||||
[define the cache directory](https://huggingface.co/docs/huggingface_hub/main/en/guides/manage-cache)
|
||||
by setting the environmental variable `HF_HOME`.
|
||||
|
||||
### Falcon {id="falcon"}
|
||||
|
||||
TII's open-source `Falcon` model family.
|
||||
|
||||
#### spacy.Falcon.v1 {id="falcon-v1"}
|
||||
|
||||
To use this model, ideally you have a GPU enabled and have installed
|
||||
`transformers`, `torch` and CUDA in your virtual environment. This allows you to
|
||||
have the setting `device=cuda:0` in your config, which ensures that the model is
|
||||
loaded entirely on the GPU (and fails otherwise).
|
||||
|
||||
You can do so with
|
||||
|
||||
```shell
|
||||
python -m pip install "spacy-llm[transformers]" "transformers[sentencepiece]"
|
||||
```
|
||||
|
||||
If you don't have access to a GPU, you can install `accelerate` and
|
||||
set`device_map=auto` instead, but be aware that this may result in some layers
|
||||
getting distributed to the CPU or even the hard drive, which may ultimately
|
||||
result in extremely slow queries.
|
||||
|
||||
```shell
|
||||
python -m pip install "accelerate>=0.16.0,<1.0"
|
||||
```
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.Falcon.v1"
|
||||
> name = "falcon-7b"
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| `name` | The name of a Falcon model variant that is supported. Defaults to `"7b-instruct"`. ~~Literal["falcon-rw-1b", "falcon-7b", "falcon-7b-instruct", "falcon-40b-instruct"]~~ |
|
||||
| `config_init` | Further configuration passed on to the construction of the model with `transformers.pipeline()`. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
| `config_run` | Further configuration used during model inference. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
|
||||
Note that Hugging Face will download this model the first time you use it - you
|
||||
can
|
||||
[define the cache directory](https://huggingface.co/docs/huggingface_hub/main/en/guides/manage-cache)
|
||||
by setting the environmental variable `HF_HOME`.
|
||||
|
||||
### StableLM {id="stablelm"}
|
||||
|
||||
Stability AI's open-source `StableLM` model family.
|
||||
|
||||
#### spacy.StableLM.v1 {id="stablelm-v1"}
|
||||
|
||||
To use this model, ideally you have a GPU enabled and have installed
|
||||
`transformers`, `torch` and CUDA in your virtual environment.
|
||||
|
||||
You can do so with
|
||||
|
||||
```shell
|
||||
python -m pip install "spacy-llm[transformers]" "transformers[sentencepiece]"
|
||||
```
|
||||
|
||||
If you don't have access to a GPU, you can install `accelerate` and
|
||||
set`device_map=auto` instead, but be aware that this may result in some layers
|
||||
getting distributed to the CPU or even the hard drive, which may ultimately
|
||||
result in extremely slow queries.
|
||||
|
||||
```shell
|
||||
python -m pip install "accelerate>=0.16.0,<1.0"
|
||||
```
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.StableLM.v1"
|
||||
> name = "stablelm-tuned-alpha-7b"
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | The name of a StableLM model that is supported (e. g. "stablelm-tuned-alpha-7b"). ~~Literal["stablelm-base-alpha-3b", "stablelm-base-alpha-7b", "stablelm-tuned-alpha-3b", "stablelm-tuned-alpha-7b"]~~ |
|
||||
| `config_init` | Further configuration passed on to the construction of the model with `transformers.AutoModelForCausalLM.from_pretrained()`. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
| `config_run` | Further configuration used during model inference. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
|
||||
See the
|
||||
[Stability AI StableLM GitHub repo](https://github.com/Stability-AI/StableLM/#stablelm-alpha)
|
||||
for details.
|
||||
|
||||
Note that Hugging Face will download this model the first time you use it - you
|
||||
can
|
||||
[define the cached directory](https://huggingface.co/docs/huggingface_hub/main/en/guides/manage-cache)
|
||||
by setting the environmental variable `HF_HOME`.
|
||||
|
||||
### OpenLLaMA {id="openllama"}
|
||||
|
||||
OpenLM Research's open-source `OpenLLaMA` model family.
|
||||
|
||||
#### spacy.OpenLLaMA.v1 {id="openllama-v1"}
|
||||
|
||||
To use this model, ideally you have a GPU enabled and have installed
|
||||
|
||||
- `transformers[sentencepiece]`
|
||||
- `torch`
|
||||
- CUDA in your virtual environment.
|
||||
|
||||
You can do so with
|
||||
|
||||
```shell
|
||||
python -m pip install "spacy-llm[transformers]" "transformers[sentencepiece]"
|
||||
```
|
||||
|
||||
If you don't have access to a GPU, you can install `accelerate` and
|
||||
set`device_map=auto` instead, but be aware that this may result in some layers
|
||||
getting distributed to the CPU or even the hard drive, which may ultimately
|
||||
result in extremely slow queries.
|
||||
|
||||
```shell
|
||||
python -m pip install "accelerate>=0.16.0,<1.0"
|
||||
```
|
||||
|
||||
> #### Example config
|
||||
>
|
||||
> ```ini
|
||||
> [components.llm.model]
|
||||
> @llm_models = "spacy.OpenLLaMA.v1"
|
||||
> name = "open_llama_3b"
|
||||
> ```
|
||||
|
||||
| Argument | Description |
|
||||
| ------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `name` | The name of a OpenLLaMA model that is supported. ~~Literal["open_llama_3b", "open_llama_7b", "open_llama_7b_v2", "open_llama_13b"]~~ |
|
||||
| `config_init` | Further configuration passed on to the construction of the model with `transformers.AutoModelForCausalLM.from_pretrained()`. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
| `config_run` | Further configuration used during model inference. Defaults to `{}`. ~~Dict[str, Any]~~ |
|
||||
|
||||
See the
|
||||
[OpenLM Research OpenLLaMA GitHub repo](https://github.com/openlm-research/open_llama)
|
||||
for details.
|
||||
|
||||
Note that Hugging Face will download this model the first time you use it - you
|
||||
can
|
||||
[define the cached directory](https://huggingface.co/docs/huggingface_hub/main/en/guides/manage-cache)
|
||||
by setting the environmental variable `HF_HOME`.
|
||||
|
||||
### LangChain models {id="langchain-models"}
|
||||
|
||||
|
|
|
|||
|
|
@ -469,31 +469,38 @@ provider's documentation.
|
|||
|
||||
</Infobox>
|
||||
|
||||
| Component | Description |
|
||||
| ------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------ |
|
||||
| [`spacy.GPT-4.v1`](/api/large-language-models#gpt-4) | OpenAI’s `gpt-4` model family. |
|
||||
| [`spacy.GPT-3-5.v1`](/api/large-language-models#gpt-3-5) | OpenAI’s `gpt-3-5` model family. |
|
||||
| [`spacy.Text-Davinci.v1`](/api/large-language-models#text-davinci) | OpenAI’s `text-davinci` model family. |
|
||||
| [`spacy.Code-Davinci.v1`](/api/large-language-models#code-davinci) | OpenAI’s `code-davinci` model family. |
|
||||
| [`spacy.Text-Curie.v1`](/api/large-language-models#text-curie) | OpenAI’s `text-curie` model family. |
|
||||
| [`spacy.Text-Babbage.v1`](/api/large-language-models#text-babbage) | OpenAI’s `text-babbage` model family. |
|
||||
| [`spacy.Text-Ada.v1`](/api/large-language-models#text-ada) | OpenAI’s `text-ada` model family. |
|
||||
| [`spacy.Davinci.v1`](/api/large-language-models#davinci) | OpenAI’s `davinci` model family. |
|
||||
| [`spacy.Curie.v1`](/api/large-language-models#curie) | OpenAI’s `curie` model family. |
|
||||
| [`spacy.Babbage.v1`](/api/large-language-models#babbage) | OpenAI’s `babbage` model family. |
|
||||
| [`spacy.Ada.v1`](/api/large-language-models#ada) | OpenAI’s `ada` model family. |
|
||||
| [`spacy.Command.v1`](/api/large-language-models#command) | Cohere’s `command` model family. |
|
||||
| [`spacy.Claude-1.v1`](/api/large-language-models#claude-1) | Anthropic’s `claude-1` model family. |
|
||||
| [`spacy.Claude-instant-1.v1`](/api/large-language-models#claude-instant-1) | Anthropic’s `claude-instant-1` model family. |
|
||||
| [`spacy.Claude-instant-1-1.v1`](/api/large-language-models#claude-instant-1-1) | Anthropic’s `claude-instant-1.1` model family. |
|
||||
| [`spacy.Claude-1-0.v1`](/api/large-language-models#claude-1-0) | Anthropic’s `claude-1.0` model family. |
|
||||
| [`spacy.Claude-1-2.v1`](/api/large-language-models#claude-1-2) | Anthropic’s `claude-1.2` model family. |
|
||||
| [`spacy.Claude-1-3.v1`](/api/large-language-models#claude-1-3) | Anthropic’s `claude-1.3` model family. |
|
||||
| [`spacy.Dolly.v1`](/api/large-language-models#dolly) | Dolly models through [Databricks](https://huggingface.co/databricks) on HuggingFace. |
|
||||
| [`spacy.Falcon.v1`](/api/large-language-models#falcon) | Falcon model through HuggingFace. |
|
||||
| [`spacy.StableLM.v1`](/api/large-language-models#stablelm) | StableLM model through HuggingFace. |
|
||||
| [`spacy.OpenLLaMA.v1`](/api/large-language-models#openllama) | OpenLLaMA model through HuggingFace. |
|
||||
| [LangChain models](/api/large-language-models#langchain-models) | LangChain models for API retrieval. |
|
||||
| Component | Description |
|
||||
| ----------------------------------------------------------------------- | ---------------------------------------------- |
|
||||
| [`spacy.GPT-4.v1`](/api/large-language-models#models-rest) | OpenAI’s `gpt-4` model family. |
|
||||
| [`spacy.GPT-3-5.v1`](/api/large-language-models#models-rest) | OpenAI’s `gpt-3-5` model family. |
|
||||
| [`spacy.Text-Davinci.v1`](/api/large-language-models#models-rest) | OpenAI’s `text-davinci` model family. |
|
||||
| [`spacy.Code-Davinci.v1`](/api/large-language-models#models-rest) | OpenAI’s `code-davinci` model family. |
|
||||
| [`spacy.Text-Curie.v1`](/api/large-language-models#models-rest) | OpenAI’s `text-curie` model family. |
|
||||
| [`spacy.Text-Babbage.v1`](/api/large-language-models#models-rest) | OpenAI’s `text-babbage` model family. |
|
||||
| [`spacy.Text-Ada.v1`](/api/large-language-models#models-rest) | OpenAI’s `text-ada` model family. |
|
||||
| [`spacy.Davinci.v1`](/api/large-language-models#models-rest) | OpenAI’s `davinci` model family. |
|
||||
| [`spacy.Curie.v1`](/api/large-language-models#models-rest) | OpenAI’s `curie` model family. |
|
||||
| [`spacy.Babbage.v1`](/api/large-language-models#models-rest) | OpenAI’s `babbage` model family. |
|
||||
| [`spacy.Ada.v1`](/api/large-language-models#models-rest) | OpenAI’s `ada` model family. |
|
||||
| [`spacy.Command.v1`](/api/large-language-models#models-rest) | Cohere’s `command` model family. |
|
||||
| [`spacy.Claude-2.v1`](/api/large-language-models#models-rest) | Anthropic’s `claude-2` model family. |
|
||||
| [`spacy.Claude-1.v1`](/api/large-language-models#models-rest) | Anthropic’s `claude-1` model family. |
|
||||
| [`spacy.Claude-instant-1.v1`](/api/large-language-models#models-rest) | Anthropic’s `claude-instant-1` model family. |
|
||||
| [`spacy.Claude-instant-1-1.v1`](/api/large-language-models#models-rest) | Anthropic’s `claude-instant-1.1` model family. |
|
||||
| [`spacy.Claude-1-0.v1`](/api/large-language-models#models-rest) | Anthropic’s `claude-1.0` model family. |
|
||||
| [`spacy.Claude-1-2.v1`](/api/large-language-models#models-rest) | Anthropic’s `claude-1.2` model family. |
|
||||
| [`spacy.Claude-1-3.v1`](/api/large-language-models#models-rest) | Anthropic’s `claude-1.3` model family. |
|
||||
| [`spacy.Dolly.v1`](/api/large-language-models#models-hf) | Dolly models through HuggingFace. |
|
||||
| [`spacy.Falcon.v1`](/api/large-language-models#models-hf) | Falcon models through HuggingFace. |
|
||||
| [`spacy.Llama2.v1`](/api/large-language-models#models-hf) | Llama2 models through HuggingFace. |
|
||||
| [`spacy.StableLM.v1`](/api/large-language-models#models-hf) | StableLM models through HuggingFace. |
|
||||
| [`spacy.OpenLLaMA.v1`](/api/large-language-models#models-hf) | OpenLLaMA models through HuggingFace. |
|
||||
| [LangChain models](/api/large-language-models#langchain-models) | LangChain models for API retrieval. |
|
||||
|
||||
Note that the chat models variants of Llama 2 are currently not supported. This
|
||||
is because they need a particular prompting setup and don't add any discernible
|
||||
benefits in the use case of `spacy-llm` (i. e. no interactive chat) compared the
|
||||
completion model variants.
|
||||
|
||||
### Cache {id="cache"}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user