Feat: Adjust model hub v0.4.13 (#2879)

* fix: correct phi3

* redundant phi2 dolphin

* add: hermes llama3

* add: ngl settings

* correct ctx len

* correct ngl

* correct maxlen + ngl

* disable phi3

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* remove redundant  hermes pro

* add ngl

* add ngl

* add ngl

* remove miqu

* add ngl

* add ngl

* add ngl

* add ngl

* remove redundant

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* add ngl

* version package bump

* feat: resolve issue of cannot found model in the extensions due to the removal

* feat: completely remove hermes-pro-7b

* feat: completely remove openhermes-neural-7b and miqu-70b, and add llama3-hermes-8b via renaming from Rex

* fix: correct description

---------

Co-authored-by: Van-QA <van@jan.ai>

extensions/inference-nitro-extension/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@janhq/inference-nitro-extension",
   "productName": "Nitro Inference Engine",
-  "version": "1.0.5",
+  "version": "1.0.6",
   "description": "This extension embeds Nitro, a lightweight (3mb) inference engine written in C++. See https://nitro.jan.ai.\nAdditional dependencies could be installed to run without Cuda Toolkit installation.",
   "main": "dist/index.js",
   "node": "dist/node/index.cjs.js",

extensions/inference-nitro-extension/resources/models/codeninja-1.0-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 8192,
     "prompt_template": "GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:",
-    "llama_model_path": "codeninja-1.0-openchat-7b.Q4_K_M.gguf"
+    "llama_model_path": "codeninja-1.0-openchat-7b.Q4_K_M.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/command-r-34b/model.json

@@ -14,7 +14,8 @@
     "settings": {
       "ctx_len": 131072,
       "prompt_template": "<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>",
-      "llama_model_path": "c4ai-command-r-v01-Q4_K_M.gguf"
+      "llama_model_path": "c4ai-command-r-v01-Q4_K_M.gguf",
+      "ngl": 40
     },
     "parameters": {
       "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/deepseek-coder-1.3b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 16384,
     "prompt_template": "### Instruction:\n{prompt}\n### Response:",
-    "llama_model_path": "deepseek-coder-1.3b-instruct.Q8_0.gguf"
+    "llama_model_path": "deepseek-coder-1.3b-instruct.Q8_0.gguf",
+    "ngl": 24
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/deepseek-coder-34b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 16384,
     "prompt_template": "### Instruction:\n{prompt}\n### Response:",
-    "llama_model_path": "deepseek-coder-33b-instruct.Q4_K_M.gguf"
+    "llama_model_path": "deepseek-coder-33b-instruct.Q4_K_M.gguf",
+    "ngl": 62
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/dolphin-phi-2/model.json

@@ -1,32 +0,0 @@
-{
-    "sources": [
-      {
-        "url": "https://huggingface.co/TheBloke/dolphin-2_6-phi-2-GGUF/resolve/main/dolphin-2_6-phi-2.Q8_0.gguf",
-        "filename": "dolphin-2_6-phi-2.Q8_0.gguf"
-      }
-    ],
-    "id": "dolphin-phi-2",
-    "object": "model",
-    "name": "Dolphin Phi-2 2.7B Q8",
-    "version": "1.0",
-    "description": "Dolphin Phi-2 is a good alternative for Phi-2 in chatting",
-    "format": "gguf",
-    "settings": {
-      "ctx_len": 4096,
-      "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-      "llama_model_path": "dolphin-2_6-phi-2.Q8_0.gguf"
-    },
-    "parameters": {
-      "max_tokens": 4096,
-      "stop": ["<|im_end|>"]
-    },
-    "metadata": {
-      "author": "Cognitive Computations, Microsoft",
-      "tags": [
-        "3B",
-        "Finetuned"
-      ],
-      "size": 2960000000
-    },
-    "engine": "nitro"
-  }

extensions/inference-nitro-extension/resources/models/gemma-2b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 8192,
     "prompt_template": "<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model",
-    "llama_model_path": "gemma-2b-it-q4_k_m.gguf"
+    "llama_model_path": "gemma-2b-it-q4_k_m.gguf",
+    "ngl": 18
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/gemma-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 8192,
     "prompt_template": "<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model",
-    "llama_model_path": "gemma-7b-it-q4_K_M.gguf"
+    "llama_model_path": "gemma-7b-it-q4_K_M.gguf",
+    "ngl": 28
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/llama2-chat-70b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 4096,
     "prompt_template": "[INST] <<SYS>>\n{system_message}<</SYS>>\n{prompt}[/INST]",
-    "llama_model_path": "llama-2-70b-chat.Q4_K_M.gguf"
+    "llama_model_path": "llama-2-70b-chat.Q4_K_M.gguf",
+    "ngl": 80
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/llama2-chat-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 4096,
     "prompt_template": "[INST] <<SYS>>\n{system_message}<</SYS>>\n{prompt}[/INST]",
-    "llama_model_path": "llama-2-7b-chat.Q4_K_M.gguf"
+    "llama_model_path": "llama-2-7b-chat.Q4_K_M.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/llama3-8b-instruct/model.json

@@ -8,19 +8,20 @@
     "id": "llama3-8b-instruct",
     "object": "model",
     "name": "Llama 3 8B Q4",
-    "version": "1.0",
+    "version": "1.1",
     "description": "Meta's Llama 3 excels at general usage situations, including chat, general world knowledge, and coding.",
     "format": "gguf",
     "settings": {
       "ctx_len": 8192,
       "prompt_template": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{system_message}<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
-      "llama_model_path": "Meta-Llama-3-8B-Instruct-Q4_K_M.gguf"
+      "llama_model_path": "Meta-Llama-3-8B-Instruct-Q4_K_M.gguf",
+      "ngl": 32
     },
     "parameters": {
       "temperature": 0.7,
       "top_p": 0.95,
       "stream": true,
-      "max_tokens": 4096,
+      "max_tokens": 8192,
       "stop": ["<|end_of_text|>","<|eot_id|>"],
       "frequency_penalty": 0,
       "presence_penalty": 0

extensions/inference-nitro-extension/resources/models/llama3-hermes-8b/model.json

@@ -1,35 +1,38 @@
 {
     "sources": [
       {
-        "filename": "Hermes-2-Pro-Mistral-7B.Q4_K_M.gguf",
+        "filename": "Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf",
-        "url": "https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF/resolve/main/Hermes-2-Pro-Mistral-7B.Q4_K_M.gguf"
+        "url": "https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF/resolve/main/Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf"
       }
     ],
-    "id": "hermes-pro-7b",
+    "id": "llama3-hermes-8b",
     "object": "model",
-    "name": "Hermes Pro 7B Q4",
+    "name": "Hermes Pro Llama 3 8B Q4",
     "version": "1.1",
-    "description": "Hermes Pro is superior in Roleplaying, Reasoning and Explaining problem.",
+    "description": "Hermes Pro is well-designed for General chat and JSON output.",
     "format": "gguf",
     "settings": {
-      "ctx_len": 4096,
+      "ctx_len": 8192,
       "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-      "llama_model_path": "Hermes-2-Pro-Mistral-7B.Q4_K_M.gguf"
+      "llama_model_path": "Hermes-2-Pro-Llama-3-8B-Q4_K_M.gguf",
+      "ngl": 32
     },
     "parameters": {
       "temperature": 0.7,
       "top_p": 0.95,
       "stream": true,
-      "max_tokens": 4096,
+      "max_tokens": 8192,
       "stop": [],
       "frequency_penalty": 0,
       "presence_penalty": 0
     },
     "metadata": {
       "author": "NousResearch",
-      "tags": ["7B", "Finetuned"],
+      "tags": [
-      "size": 4370000000
+        "7B",
+        "Finetuned"
+      ],
+      "size": 4920000000
     },
     "engine": "nitro"
   }
-  

extensions/inference-nitro-extension/resources/models/llamacorn-1.1b/model.json

@@ -14,7 +14,8 @@
     "settings": {
       "ctx_len": 2048,
       "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-      "llama_model_path": "llamacorn-1.1b-chat.Q8_0.gguf"
+      "llama_model_path": "llamacorn-1.1b-chat.Q8_0.gguf",
+      "ngl": 22
     },
     "parameters": {
       "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/miqu-70b/model.json

@@ -1,34 +0,0 @@
-{
-    "sources": [
-      {
-        "filename": "miqu-1-70b.q4_k_m.gguf",
-        "url": "https://huggingface.co/miqudev/miqu-1-70b/resolve/main/miqu-1-70b.q4_k_m.gguf"
-      }
-    ],
-    "id": "miqu-70b",
-    "object": "model",
-    "name": "Mistral 70B Q4",
-    "version": "1.0",
-    "description": "A leak weight of Mistral 70B model.",
-    "format": "gguf",
-    "settings": {
-      "ctx_len": 4096,
-      "prompt_template": "[INST] {prompt} [/INST]",
-      "llama_model_path": "miqu-1-70b.q4_k_m.gguf"
-    },
-    "parameters": {
-      "temperature": 0.7,
-      "top_p": 0.95,
-      "stream": true,
-      "max_tokens": 4096,
-      "frequency_penalty": 0,
-      "presence_penalty": 0
-    },
-    "metadata": {
-      "author": "miqudev",
-      "tags": ["70B", "Foundational Model"],
-      "size": 26440000000
-    },
-    "engine": "nitro"
-  }
-  

extensions/inference-nitro-extension/resources/models/mistral-ins-7b-q4/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 32768,
     "prompt_template": "[INST] {prompt} [/INST]",
-    "llama_model_path": "mistral-7b-instruct-v0.2.Q4_K_M.gguf"
+    "llama_model_path": "mistral-7b-instruct-v0.2.Q4_K_M.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/mixtral-8x7b-instruct/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 32768,
     "prompt_template": "[INST] {prompt} [/INST]",
-    "llama_model_path": "mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf"
+    "llama_model_path": "mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf",
+    "ngl": 100
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/noromaid-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 32768,
     "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-    "llama_model_path": "Noromaid-7B-0.4-DPO.q4_k_m.gguf"
+    "llama_model_path": "Noromaid-7B-0.4-DPO.q4_k_m.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/openchat-3.5-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 8192,
     "prompt_template": "GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:",
-    "llama_model_path": "openchat-3.5-0106.Q4_K_M.gguf"
+    "llama_model_path": "openchat-3.5-0106.Q4_K_M.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/openhermes-neural-7b/model.json

@@ -1,34 +0,0 @@
-{
-  "sources": [
-    {
-      "filename": "openhermes-2.5-neural-chat-v3-3-slerp.Q4_K_M.gguf",
-      "url": "https://huggingface.co/janhq/openhermes-2.5-neural-chat-v3-3-slerp-GGUF/resolve/main/openhermes-2.5-neural-chat-v3-3-slerp.Q4_K_M.gguf"
-    }
-  ],
-  "id": "openhermes-neural-7b",
-  "object": "model",
-  "name": "OpenHermes Neural 7B Q4",
-  "version": "1.1",
-  "description": "OpenHermes Neural is a merged model using the TIES method. It performs well in various benchmarks.",
-  "format": "gguf",
-  "settings": {
-    "ctx_len": 4096,
-    "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-    "llama_model_path": "openhermes-2.5-neural-chat-v3-3-slerp.Q4_K_M.gguf"
-  },
-  "parameters": {
-    "temperature": 0.7,
-    "top_p": 0.95,
-    "stream": true,
-    "max_tokens": 4096,
-    "frequency_penalty": 0,
-    "presence_penalty": 0
-  },
-  "metadata": {
-    "author": "Intel, Jan",
-    "tags": ["7B", "Merged"],
-    "size": 4370000000,
-    "cover": "https://raw.githubusercontent.com/janhq/jan/dev/models/openhermes-neural-7b/cover.png"
-  },
-  "engine": "nitro"
-}

extensions/inference-nitro-extension/resources/models/phi3-3.8b/model.json

@@ -1,32 +0,0 @@
-{
-    "sources": [
-      {
-        "url": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-gguf/resolve/main/Phi-3-mini-4k-instruct-q4.gguf",
-        "filename": "Phi-3-mini-4k-instruct-q4.gguf"
-      }
-    ],
-    "id": "phi3-3.8b",
-    "object": "model",
-    "name": "Phi-3 Mini",
-    "version": "1.0",
-    "description": "Phi-3 Mini is Microsoft's newest, compact model designed for mobile use.",
-    "format": "gguf",
-    "settings": {
-      "ctx_len": 4096,
-      "prompt_template": "<|system|>\n{system_message}<|end|>\n<|user|>\n{prompt}<|end|>\n<|assistant|>\n",
-      "llama_model_path": "Phi-3-mini-4k-instruct-q4.gguf"
-    },
-    "parameters": {
-      "max_tokens": 4096,
-      "stop": ["<|end|>"]
-    },
-    "metadata": {
-      "author": "Microsoft",
-      "tags": [
-        "3B",
-        "Finetuned"
-      ],
-      "size": 2320000000
-    },
-    "engine": "nitro"
-  }

extensions/inference-nitro-extension/resources/models/phind-34b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 16384,
     "prompt_template": "### System Prompt\n{system_message}\n### User Message\n{prompt}\n### Assistant",
-    "llama_model_path": "phind-codellama-34b-v2.Q4_K_M.gguf"
+    "llama_model_path": "phind-codellama-34b-v2.Q4_K_M.gguf",
+    "ngl": 48
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/qwen-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 32768,
     "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-    "llama_model_path": "qwen1_5-7b-chat-q4_k_m.gguf"
+    "llama_model_path": "qwen1_5-7b-chat-q4_k_m.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/stable-zephyr-3b/model.json

@@ -14,7 +14,8 @@
     "settings": {
       "ctx_len": 4096,
       "prompt_template": "<|user|>\n{prompt}<|endoftext|>\n<|assistant|>",
-      "llama_model_path": "stablelm-zephyr-3b.Q8_0.gguf"
+      "llama_model_path": "stablelm-zephyr-3b.Q8_0.gguf",
+      "ngl": 32
     },
     "parameters": {
       "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/stealth-v1.2-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 32768,
     "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-    "llama_model_path": "stealth-v1.3.Q4_K_M.gguf"
+    "llama_model_path": "stealth-v1.3.Q4_K_M.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/tinyllama-1.1b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 4096,
     "prompt_template": "<|system|>\n{system_message}<|user|>\n{prompt}<|assistant|>",
-    "llama_model_path": "tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf"
+    "llama_model_path": "tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf",
+    "ngl": 22
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/trinity-v1.2-7b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 32768,
     "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-    "llama_model_path": "trinity-v1.2.Q4_K_M.gguf"
+    "llama_model_path": "trinity-v1.2.Q4_K_M.gguf",
+    "ngl": 32
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/vistral-7b/model.json

@@ -14,7 +14,8 @@
     "settings": {
       "ctx_len": 32768,
       "prompt_template": "[INST] <<SYS>>\n{system_message}\n<</SYS>>\n{prompt} [/INST]",
-      "llama_model_path": "vistral-7b-chat-dpo.Q4_K_M.gguf"
+      "llama_model_path": "vistral-7b-chat-dpo.Q4_K_M.gguf",
+      "ngl": 32
     },
     "parameters": {
       "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/wizardcoder-13b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 16384,
     "prompt_template": "### Instruction:\n{prompt}\n### Response:",
-    "llama_model_path": "wizardcoder-python-13b-v1.0.Q4_K_M.gguf"
+    "llama_model_path": "wizardcoder-python-13b-v1.0.Q4_K_M.gguf",
+    "ngl": 40
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/resources/models/yi-34b/model.json

@@ -14,7 +14,8 @@
   "settings": {
     "ctx_len": 4096,
     "prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
-    "llama_model_path": "yi-34b-chat.Q4_K_M.gguf"
+    "llama_model_path": "yi-34b-chat.Q4_K_M.gguf",
+    "ngl": 60
   },
   "parameters": {
     "temperature": 0.7,

extensions/inference-nitro-extension/rollup.config.ts

@@ -12,21 +12,17 @@ const codeninja7bJson = require('./resources/models/codeninja-1.0-7b/model.json'
 const commandr34bJson = require('./resources/models/command-r-34b/model.json')
 const deepseekCoder13bJson = require('./resources/models/deepseek-coder-1.3b/model.json')
 const deepseekCoder34bJson = require('./resources/models/deepseek-coder-34b/model.json')
-const dolphinPhi2Json = require('./resources/models/dolphin-phi-2/model.json')
 const gemma2bJson = require('./resources/models/gemma-2b/model.json')
 const gemma7bJson = require('./resources/models/gemma-7b/model.json')
-const hermesPro7bJson = require('./resources/models/hermes-pro-7b/model.json')
 const llama2Chat70bJson = require('./resources/models/llama2-chat-70b/model.json')
 const llama2Chat7bJson = require('./resources/models/llama2-chat-7b/model.json')
 const llamacorn1bJson = require('./resources/models/llamacorn-1.1b/model.json')
 const llava13bJson = require('./resources/models/llava-13b/model.json')
 const llava7bJson = require('./resources/models/llava-7b/model.json')
-const miqu70bJson = require('./resources/models/miqu-70b/model.json')
 const mistralIns7bq4Json = require('./resources/models/mistral-ins-7b-q4/model.json')
 const mixtral8x7bInstructJson = require('./resources/models/mixtral-8x7b-instruct/model.json')
 const noromaid7bJson = require('./resources/models/noromaid-7b/model.json')
 const openchat357bJson = require('./resources/models/openchat-3.5-7b/model.json')
-const openhermesNeural7bJson = require('./resources/models/openhermes-neural-7b/model.json')
 const phind34bJson = require('./resources/models/phind-34b/model.json')
 const qwen7bJson = require('./resources/models/qwen-7b/model.json')
 const stableZephyr3bJson = require('./resources/models/stable-zephyr-3b/model.json')
@@ -37,6 +33,7 @@ const vistral7bJson = require('./resources/models/vistral-7b/model.json')
 const wizardcoder13bJson = require('./resources/models/wizardcoder-13b/model.json')
 const yi34bJson = require('./resources/models/yi-34b/model.json')
 const llama3Json = require('./resources/models/llama3-8b-instruct/model.json')
+const llama3Hermes8bJson = require('./resources/models/llama3-hermes-8b/model.json')
 
 export default [
   {
@@ -56,21 +53,17 @@ export default [
           commandr34bJson,
           deepseekCoder13bJson,
           deepseekCoder34bJson,
-          dolphinPhi2Json,
           gemma2bJson,
           gemma7bJson,
-          hermesPro7bJson,
           llama2Chat70bJson,
           llama2Chat7bJson,
           llamacorn1bJson,
           llava13bJson,
           llava7bJson,
-          miqu70bJson,
           mistralIns7bq4Json,
           mixtral8x7bInstructJson,
           noromaid7bJson,
           openchat357bJson,
-          openhermesNeural7bJson,
           phind34bJson,
           qwen7bJson,
           stableZephyr3bJson,
@@ -80,7 +73,8 @@ export default [
           vistral7bJson,
           wizardcoder13bJson,
           yi34bJson,
-          llama3Json
+          llama3Json,
+          llama3Hermes8bJson
         ]),
         NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`),
         DEFAULT_SETTINGS: JSON.stringify(defaultSettingJson),