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prettier changes
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Alex Strick van Linschoten
parent
02eb0e2f1a
commit
6f55065ed9
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@ -1401,44 +1401,44 @@ provider's API.
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Currently, these models are provided as part of the core library:
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| Model | Provider | Supported names | Default name | Default config |
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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-4.v2` | OpenAI | `["gpt-4", "gpt-4-0314", "gpt-4-32k", "gpt-4-32k-0314"]` | `"gpt-4"` | `{temperature=0.0}` |
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| `spacy.GPT-4.v3` | OpenAI | All names of [GPT-4 models](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) offered by OpenAI | `"gpt-4"` | `{temperature=0.0}` |
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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-instruct"]` | `"gpt-3.5-turbo"` | `{}` |
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| `spacy.GPT-3-5.v2` | 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-instruct"]` | `"gpt-3.5-turbo"` | `{temperature=0.0}` |
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| `spacy.GPT-3-5.v3` | OpenAI | All names of [GPT-3.5 models](https://platform.openai.com/docs/models/gpt-3-5) offered by OpenAI | `"gpt-3.5-turbo"` | `{temperature=0.0}` |
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| `spacy.Davinci.v1` | OpenAI | `["davinci"]` | `"davinci"` | `{}` |
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| `spacy.Davinci.v2` | OpenAI | `["davinci"]` | `"davinci"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Davinci.v1` | OpenAI | `["text-davinci-003", "text-davinci-002"]` | `"text-davinci-003"` | `{}` |
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| `spacy.Text-Davinci.v2` | OpenAI | `["text-davinci-003", "text-davinci-002"]` | `"text-davinci-003"` | `{temperature=0.0, max_tokens=1000}` |
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| `spacy.Code-Davinci.v1` | OpenAI | `["code-davinci-002"]` | `"code-davinci-002"` | `{}` |
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| `spacy.Code-Davinci.v2` | OpenAI | `["code-davinci-002"]` | `"code-davinci-002"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Curie.v1` | OpenAI | `["curie"]` | `"curie"` | `{}` |
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| `spacy.Curie.v2` | OpenAI | `["curie"]` | `"curie"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Curie.v1` | OpenAI | `["text-curie-001"]` | `"text-curie-001"` | `{}` |
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| `spacy.Text-Curie.v2` | OpenAI | `["text-curie-001"]` | `"text-curie-001"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Babbage.v1` | OpenAI | `["babbage"]` | `"babbage"` | `{}` |
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| `spacy.Babbage.v2` | OpenAI | `["babbage"]` | `"babbage"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Babbage.v1` | OpenAI | `["text-babbage-001"]` | `"text-babbage-001"` | `{}` |
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| `spacy.Text-Babbage.v2` | OpenAI | `["text-babbage-001"]` | `"text-babbage-001"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Ada.v1` | OpenAI | `["ada"]` | `"ada"` | `{}` |
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| `spacy.Ada.v2` | OpenAI | `["ada"]` | `"ada"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Ada.v1` | OpenAI | `["text-ada-001"]` | `"text-ada-001"` | `{}` |
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| `spacy.Text-Ada.v2` | OpenAI | `["text-ada-001"]` | `"text-ada-001"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Azure.v1` | Microsoft, OpenAI | Arbitrary values | No default | `{temperature=0.0}` |
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| `spacy.Command.v1` | Cohere | `["command", "command-light", "command-light-nightly", "command-nightly"]` | `"command"` | `{}` |
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| `spacy.Claude-2-1.v1` | Anthropic | `["claude-2-1"]` | `"claude-2-1"` | `{}` |
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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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| `spacy.PaLM.v1` | Google | `["chat-bison-001", "text-bison-001"]` | `"text-bison-001"` | `{temperature=0.0}` |
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| `spacy.Ollama.v1` | Ollama | `["llama3", "phi3", "wizardlm2", "mistral", "gemma", "mixtral", "llama2", "codegemma", "command-r", "command-r-plus", "llava", "dbrx", "codellama", "qwen", "dolphin-mixtral", "llama2-uncensored", "mistral-openorca", "deepseek-coder", "phi", "dolphin-mistral", "nomic-embed-text", "nous-hermes2", "orca-mini", "llama2-chinese", "zephyr", "wizard-vicuna-uncensored", "openhermes", "vicuna", "tinyllama", "tinydolphin", "openchat", "starcoder2", "wizardcoder", "stable-code", "starcoder", "neural-chat", "yi", "phind-codellama", "starling-lm", "wizard-math", "falcon", "dolphin-phi", "orca2", "dolphincoder", "mxbai-embed-large", "nous-hermes", "solar", "bakllava", "sqlcoder", "medllama2", "nous-hermes2-mixtral", "wizardlm-uncensored", "dolphin-llama3", "codeup", "stablelm2", "everythinglm", "all-minilm", "samantha-mistral", "yarn-mistral", "stable-beluga", "meditron", "yarn-llama2", "deepseek-llm", "llama-pro", "magicoder", "stablelm-zephyr", "codebooga", "codeqwen", "mistrallite", "wizard-vicuna", "nexusraven", "xwinlm", "goliath", "open-orca-platypus2", "wizardlm", "notux", "megadolphin", "duckdb-nsql", "alfred", "notus", "snowflake-arctic-embed"]` | | `{}` |
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| Model | Provider | Supported names | Default name | Default config |
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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-4.v2` | OpenAI | `["gpt-4", "gpt-4-0314", "gpt-4-32k", "gpt-4-32k-0314"]` | `"gpt-4"` | `{temperature=0.0}` |
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| `spacy.GPT-4.v3` | OpenAI | All names of [GPT-4 models](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) offered by OpenAI | `"gpt-4"` | `{temperature=0.0}` |
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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-instruct"]` | `"gpt-3.5-turbo"` | `{}` |
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| `spacy.GPT-3-5.v2` | 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-instruct"]` | `"gpt-3.5-turbo"` | `{temperature=0.0}` |
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| `spacy.GPT-3-5.v3` | OpenAI | All names of [GPT-3.5 models](https://platform.openai.com/docs/models/gpt-3-5) offered by OpenAI | `"gpt-3.5-turbo"` | `{temperature=0.0}` |
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| `spacy.Davinci.v1` | OpenAI | `["davinci"]` | `"davinci"` | `{}` |
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| `spacy.Davinci.v2` | OpenAI | `["davinci"]` | `"davinci"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Davinci.v1` | OpenAI | `["text-davinci-003", "text-davinci-002"]` | `"text-davinci-003"` | `{}` |
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| `spacy.Text-Davinci.v2` | OpenAI | `["text-davinci-003", "text-davinci-002"]` | `"text-davinci-003"` | `{temperature=0.0, max_tokens=1000}` |
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| `spacy.Code-Davinci.v1` | OpenAI | `["code-davinci-002"]` | `"code-davinci-002"` | `{}` |
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| `spacy.Code-Davinci.v2` | OpenAI | `["code-davinci-002"]` | `"code-davinci-002"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Curie.v1` | OpenAI | `["curie"]` | `"curie"` | `{}` |
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| `spacy.Curie.v2` | OpenAI | `["curie"]` | `"curie"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Curie.v1` | OpenAI | `["text-curie-001"]` | `"text-curie-001"` | `{}` |
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| `spacy.Text-Curie.v2` | OpenAI | `["text-curie-001"]` | `"text-curie-001"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Babbage.v1` | OpenAI | `["babbage"]` | `"babbage"` | `{}` |
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| `spacy.Babbage.v2` | OpenAI | `["babbage"]` | `"babbage"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Babbage.v1` | OpenAI | `["text-babbage-001"]` | `"text-babbage-001"` | `{}` |
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| `spacy.Text-Babbage.v2` | OpenAI | `["text-babbage-001"]` | `"text-babbage-001"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Ada.v1` | OpenAI | `["ada"]` | `"ada"` | `{}` |
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| `spacy.Ada.v2` | OpenAI | `["ada"]` | `"ada"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Text-Ada.v1` | OpenAI | `["text-ada-001"]` | `"text-ada-001"` | `{}` |
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| `spacy.Text-Ada.v2` | OpenAI | `["text-ada-001"]` | `"text-ada-001"` | `{temperature=0.0, max_tokens=500}` |
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| `spacy.Azure.v1` | Microsoft, OpenAI | Arbitrary values | No default | `{temperature=0.0}` |
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| `spacy.Command.v1` | Cohere | `["command", "command-light", "command-light-nightly", "command-nightly"]` | `"command"` | `{}` |
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| `spacy.Claude-2-1.v1` | Anthropic | `["claude-2-1"]` | `"claude-2-1"` | `{}` |
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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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| `spacy.PaLM.v1` | Google | `["chat-bison-001", "text-bison-001"]` | `"text-bison-001"` | `{temperature=0.0}` |
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| `spacy.Ollama.v1` | Ollama | `["llama3", "phi3", "wizardlm2", "mistral", "gemma", "mixtral", "llama2", "codegemma", "command-r", "command-r-plus", "llava", "dbrx", "codellama", "qwen", "dolphin-mixtral", "llama2-uncensored", "mistral-openorca", "deepseek-coder", "phi", "dolphin-mistral", "nomic-embed-text", "nous-hermes2", "orca-mini", "llama2-chinese", "zephyr", "wizard-vicuna-uncensored", "openhermes", "vicuna", "tinyllama", "tinydolphin", "openchat", "starcoder2", "wizardcoder", "stable-code", "starcoder", "neural-chat", "yi", "phind-codellama", "starling-lm", "wizard-math", "falcon", "dolphin-phi", "orca2", "dolphincoder", "mxbai-embed-large", "nous-hermes", "solar", "bakllava", "sqlcoder", "medllama2", "nous-hermes2-mixtral", "wizardlm-uncensored", "dolphin-llama3", "codeup", "stablelm2", "everythinglm", "all-minilm", "samantha-mistral", "yarn-mistral", "stable-beluga", "meditron", "yarn-llama2", "deepseek-llm", "llama-pro", "magicoder", "stablelm-zephyr", "codebooga", "codeqwen", "mistrallite", "wizard-vicuna", "nexusraven", "xwinlm", "goliath", "open-orca-platypus2", "wizardlm", "notux", "megadolphin", "duckdb-nsql", "alfred", "notus", "snowflake-arctic-embed"]` | | `{}` |
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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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@ -1461,7 +1461,13 @@ different than working with models from other providers:
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`"completions"` or `"chat"`, depending on whether the deployed model is a
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completion or chat model.
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**⚠️ A note on `spacy.Ollama.v1`.** The Ollama models are all local models that run on your GPU-backed machine. Please refer to the [Ollama docs](https://ollama.com/) for more information on installation, but the basic flow will see you running `ollama serve` to start the local server that will route incoming requests from `spacy-llm` to the model. Depending on which model you want, you'll then need to run `ollama pull <MODEL_NAME>` which will download the quantised model files to your local machine.
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**⚠️ A note on `spacy.Ollama.v1`.** The Ollama models are all local models that
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run on your GPU-backed machine. Please refer to the
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[Ollama docs](https://ollama.com/) for more information on installation, but the
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basic flow will see you running `ollama serve` to start the local server that
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will route incoming requests from `spacy-llm` to the model. Depending on which
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model you want, you'll then need to run `ollama pull <MODEL_NAME>` which will
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download the quantised model files to your local machine.
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#### API Keys {id="api-keys"}
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@ -511,7 +511,7 @@ provider's documentation.
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| [`spacy.StableLM.v1`](/api/large-language-models#models-hf) | StableLM models through HuggingFace. |
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| [`spacy.OpenLLaMA.v1`](/api/large-language-models#models-hf) | OpenLLaMA models through HuggingFace. |
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| [LangChain models](/api/large-language-models#langchain-models) | LangChain models for API retrieval. |
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| [`spacy.Ollama.v1`](/api/large-language-models#models-rest) | Ollama's locally-running models. |
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| [`spacy.Ollama.v1`](/api/large-language-models#models-rest) | Ollama's locally-running models. |
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Note that the chat models variants of Llama 2 are currently not supported. This
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is because they need a particular prompting setup and don't add any discernible
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