Feat: Correct context length for models

extensions/inference-nitro-extension/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@janhq/inference-nitro-extension",
   "productName": "Nitro Inference Engine",
-  "version": "1.0.4",
+  "version": "1.0.5",
   "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

@@ -8,19 +8,19 @@
   "id": "codeninja-1.0-7b",
   "object": "model",
   "name": "CodeNinja 7B Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "CodeNinja is good for coding tasks and can handle various languages including Python, C, C++, Rust, Java, JavaScript, and more.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 8192,
     "frequency_penalty": 0,
     "presence_penalty": 0
   },

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

@@ -8,19 +8,19 @@
     "id": "command-r-34b",
     "object": "model",
     "name": "Command-R v01 34B Q4",
-    "version": "1.3",
+    "version": "1.4",
     "description": "C4AI Command-R developed by CohereAI is optimized for a variety of use cases including reasoning, summarization, and question answering.",
     "format": "gguf",
     "settings": {
-      "ctx_len": 4096,
+      "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"
     },
     "parameters": {
       "temperature": 0.7,
       "top_p": 0.95,
       "stream": true,
-      "max_tokens": 4096,
+      "max_tokens": 131072,
       "stop": [],
       "frequency_penalty": 0,
       "presence_penalty": 0

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

@@ -8,19 +8,19 @@
   "id": "deepseek-coder-1.3b",
   "object": "model",
   "name": "Deepseek Coder 1.3B Q8",
-  "version": "1.0",
+  "version": "1.1",
   "description": "Deepseek Coder excelled in project-level code completion with advanced capabilities across multiple programming languages.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "ctx_len": 16384,
     "prompt_template": "### Instruction:\n{prompt}\n### Response:",
     "llama_model_path": "deepseek-coder-1.3b-instruct.Q8_0.gguf"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 16384,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -1,26 +1,26 @@
 {
   "sources": [
     {
-      "filename": "deepseek-coder-33b-instruct.Q5_K_M.gguf",
-      "url": "https://huggingface.co/TheBloke/deepseek-coder-33B-instruct-GGUF/resolve/main/deepseek-coder-33b-instruct.Q5_K_M.gguf"
+      "filename": "deepseek-coder-33b-instruct.Q4_K_M.gguf",
+      "url": "https://huggingface.co/TheBloke/deepseek-coder-33B-instruct-GGUF/resolve/main/deepseek-coder-33b-instruct.Q4_K_M.gguf"
     }
   ],
   "id": "deepseek-coder-34b",
   "object": "model",
-  "name": "Deepseek Coder 33B Q5",
-  "version": "1.0",
+  "name": "Deepseek Coder 33B Q4",
+  "version": "1.1",
   "description": "Deepseek Coder excelled in project-level code completion with advanced capabilities across multiple programming languages.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "ctx_len": 16384,
     "prompt_template": "### Instruction:\n{prompt}\n### Response:",
-    "llama_model_path": "deepseek-coder-33b-instruct.Q5_K_M.gguf"
+    "llama_model_path": "deepseek-coder-33b-instruct.Q4_K_M.gguf"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 16384,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -8,19 +8,19 @@
   "id": "gemma-2b",
   "object": "model",
   "name": "Gemma 2B Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "Gemma is built from the same technology with Google's Gemini.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 8192,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -8,19 +8,19 @@
   "id": "gemma-7b",
   "object": "model",
   "name": "Gemma 7B Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "Google's Gemma is built for multilingual purpose",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 8192,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -8,20 +8,20 @@
   "id": "mistral-ins-7b-q4",
   "object": "model",
   "name": "Mistral Instruct 7B Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "Mistral Instruct 7b model, specifically designed for a comprehensive understanding of the world.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "ctx_len": 32768,
     "prompt_template": "[INST] {prompt} [/INST]",
     "llama_model_path": "mistral-7b-instruct-v0.2.Q4_K_M.gguf"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
-    "stop": [],
+    "max_tokens": 32768,
+    "stop": ["[/INST]"],
     "frequency_penalty": 0,
     "presence_penalty": 0
   },

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

@@ -8,19 +8,19 @@
   "id": "mixtral-8x7b-instruct",
   "object": "model",
   "name": "Mixtral 8x7B Instruct Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "The Mixtral-8x7B is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms 70B models on most benchmarks.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "ctx_len": 32768,
     "prompt_template": "[INST] {prompt} [/INST]",
     "llama_model_path": "mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 32768,
     "frequency_penalty": 0,
     "presence_penalty": 0
   },

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

@@ -8,19 +8,19 @@
   "id": "noromaid-7b",
   "object": "model",
   "name": "Noromaid 7B Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "The Noromaid 7b model is designed for role-playing with human-like behavior.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 32768,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -8,19 +8,19 @@
   "id": "openchat-3.5-7b",
   "object": "model",
   "name": "Openchat-3.5 7B Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "The performance of Openchat surpasses ChatGPT-3.5 and Grok-1 across various benchmarks.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 8192,
     "stop": ["<|end_of_turn|>"],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -8,19 +8,19 @@
   "id": "phind-34b",
   "object": "model",
   "name": "Phind 34B Q4",
-  "version": "1.1",
+  "version": "1.2",
   "description": "Phind 34B is the best Open-source coding model.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 16384,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -8,19 +8,19 @@
   "id": "qwen-7b",
   "object": "model",
   "name": "Qwen Chat 7B Q4",
-  "version": "1.0",
+  "version": "1.1",
   "description": "Qwen is optimized at Chinese, ideal for everyday tasks.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 32768,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0

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

@@ -12,15 +12,15 @@
   "description": "This is a new experimental family designed to enhance Mathematical and Logical abilities.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 32768,
     "frequency_penalty": 0,
     "presence_penalty": 0
   },

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

@@ -12,15 +12,15 @@
   "description": "Trinity is an experimental model merge using the Slerp method. Recommended for daily assistance purposes.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "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"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 32768,
     "frequency_penalty": 0,
     "presence_penalty": 0
   },

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

@@ -8,19 +8,19 @@
     "id": "vistral-7b",
     "object": "model",
     "name": "Vistral 7B Q4",
-    "version": "1.0",
+    "version": "1.1",
     "description": "Vistral 7B has a deep understanding of Vietnamese.",
     "format": "gguf",
     "settings": {
-      "ctx_len": 4096,
+      "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"
     },
     "parameters": {
       "temperature": 0.7,
       "top_p": 0.95,
       "stream": true,
-      "max_tokens": 4096,
+      "max_tokens": 32768,
       "stop": [],
       "frequency_penalty": 0,
       "presence_penalty": 0

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

@@ -12,15 +12,15 @@
   "description": "WizardCoder 13B is a Python coding model. This model demonstrate high proficiency in specific domains like coding and mathematics.",
   "format": "gguf",
   "settings": {
-    "ctx_len": 4096,
+    "ctx_len": 16384,
     "prompt_template": "### Instruction:\n{prompt}\n### Response:",
     "llama_model_path": "wizardcoder-python-13b-v1.0.Q4_K_M.gguf"
   },
   "parameters": {
     "temperature": 0.7,
     "top_p": 0.95,
     "stream": true,
-    "max_tokens": 4096,
+    "max_tokens": 16384,
     "stop": [],
     "frequency_penalty": 0,
     "presence_penalty": 0