diff --git a/website/_harp.json b/website/_harp.json
index 1ed20ffe0..7edad1b0c 100644
--- a/website/_harp.json
+++ b/website/_harp.json
@@ -83,7 +83,7 @@
         ],
 
         "V_CSS": "2.0.0",
-        "V_JS": "2.0.0",
+        "V_JS": "2.0.1",
         "DEFAULT_SYNTAX": "python",
         "ANALYTICS": "UA-58931649-1",
         "MAILCHIMP": {
diff --git a/website/assets/js/models.js b/website/assets/js/models.js
index 57e8f84ae..30fed344e 100644
--- a/website/assets/js/models.js
+++ b/website/assets/js/models.js
@@ -141,7 +141,6 @@ export class ModelLoader {
         if (!accuracy && !speed) return;
         this.renderTable(tpl, 'parser', accuracy, val => val.toFixed(2));
         this.renderTable(tpl, 'ner', accuracy, val => val.toFixed(2));
-        this.renderTable(tpl, 'speed', speed, Math.round);
         tpl.get('benchmarks').hidden = false;
     }
 
@@ -327,7 +326,6 @@ export class ModelComparer {
         const allKeys = [].concat(...Object.entries(this.benchKeys).map(([_, v]) => Object.keys(v)));
         for (let key of allKeys) {
             if (accuracy[key]) this.tpl.fill(`${key}${i}`, accuracy[key].toFixed(2))
-            else if (speed[key]) this.tpl.fill(`${key}${i}`, convertNumber(Math.round(speed[key])))
             else this.tpl.fill(`${key}${i}`, 'n/a')
         }
     }
diff --git a/website/models/_data.json b/website/models/_data.json
index 3c4fb5bf2..a477747df 100644
--- a/website/models/_data.json
+++ b/website/models/_data.json
@@ -40,7 +40,7 @@
     },
 
     "MODELS": {
-        "en": ["en_core_web_sm", "en_core_web_lg", "en_vectors_web_lg"],
+        "en": ["en_core_web_sm", "en_core_web_md", "en_core_web_lg", "en_vectors_web_lg"],
         "de": ["de_core_news_sm"],
         "es": ["es_core_news_sm", "es_core_news_md"],
         "pt": ["pt_core_news_sm"],
@@ -86,8 +86,7 @@
 
     "MODEL_BENCHMARKS": {
         "parser": { "uas": "UAS", "las": "LAS", "tags_acc": "POS" },
-        "ner":    { "ents_f": "NER F", "ents_p": "NER P", "ents_r": "NER R" },
-        "speed":  { "nwords": "Words", "cpu": "w/s CPU", "gpu": "w/s GPU" }
+        "ner":    { "ents_f": "NER F", "ents_p": "NER P", "ents_r": "NER R" }
     },
 
     "LANGUAGES": {
diff --git a/website/usage/_facts-figures/_benchmarks-models.jade b/website/usage/_facts-figures/_benchmarks-models.jade
index 4c5481f1c..e62e5fc79 100644
--- a/website/usage/_facts-figures/_benchmarks-models.jade
+++ b/website/usage/_facts-figures/_benchmarks-models.jade
@@ -19,18 +19,28 @@ p
 +table(["Model", "spaCy", "Type", "UAS", "NER F", "POS", "WPS", "Size"])
     +row
         +cell #[+a("/models/en#en_core_web_sm") #[code en_core_web_sm]] 2.0.0
-        each data in ["2.x", "neural"]
-            +cell("num")=data
+        +cell("num") 2.x
+        +cell neural
         +cell("num") 91.7
         +cell("num") 85.3
         +cell("num") 97.0
         +cell("num") 10.1k
         +cell("num") #[strong 35MB]
 
+    +row
+        +cell #[+a("/models/en#en_core_web_md") #[code en_core_web_md]] 2.0.0
+        +cell("num") 2.x
+        +cell neural
+        +cell("num") 91.7
+        +cell("num") #[strong 85.9]
+        +cell("num") 97.1
+        +cell("num") 10.0k
+        +cell("num") 115MB
+
     +row
         +cell #[+a("/models/en#en_core_web_lg") #[code en_core_web_lg]] 2.0.0
-        each data in ["2.x", "neural"]
-            +cell("num")=data
+        +cell("num") 2.x
+        +cell neural
         +cell("num") #[strong 91.9]
         +cell("num") #[strong 85.9]
         +cell("num") #[strong 97.2]
@@ -39,15 +49,23 @@ p
 
     +row("divider")
         +cell #[code en_core_web_sm] 1.2.0
-        each data in ["1.x", "linear", 86.6, 78.5, 96.6]
-            +cell("num")=data
+        +cell("num") 1.x
+        +cell linear
+        +cell("num") 86.6
+        +cell("num") 78.5
+        +cell("num") 96.6
         +cell("num") #[strong 25.7k]
         +cell("num") 50MB
 
     +row
         +cell #[code en_core_web_md] 1.2.1
-        each data in ["1.x", "linear", 90.6, 81.4, 96.7, "18.8k", "1GB"]
-            +cell("num")=data
+        +cell("num") 1.x
+        +cell linear
+        +cell("num") 90.6
+        +cell("num") 81.4
+        +cell("num") 96.7
+        +cell("num") 18.8k
+        +cell("num") 1GB
 
 +h(4, "benchmarks-models-spanish") Spanish
 
diff --git a/website/usage/_install/_instructions.jade b/website/usage/_install/_instructions.jade
index 7e22554d2..18cc53612 100644
--- a/website/usage/_install/_instructions.jade
+++ b/website/usage/_install/_instructions.jade
@@ -31,10 +31,8 @@ p
     +badge("https://anaconda.org/conda-forge/spacy/badges/version.svg", "https://anaconda.org/conda-forge/spacy")
 
 +infobox("Important note", "⚠️")
-    |  We're still waiting for spaCy v2.0 to
-    |  #[+a("https://github.com/conda-forge/spacy-feedstock/pulls") go live]
-    |  on #[code conda-forge], as there's currently a significant
-    |  #[+a("https://www.traviscistatus.com/") backlog] of OSX builds on Travis.
+    |  We're still waiting for spaCy v2.0 to go live on #[code conda-forge],
+    |  as there's currently a backlog of OSX builds on Travis.
     |  In the meantime, you can already try out the new version using pip. The
     |  conda download will follow as soon as possible.