chore: add qwen2.5-coder 14B and 32B models
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@ -1,7 +1,7 @@
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{
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"name": "@janhq/inference-cortex-extension",
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"productName": "Cortex Inference Engine",
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"version": "1.0.20",
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"version": "1.0.21",
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"description": "This extension embeds cortex.cpp, a lightweight inference engine written in C++. See https://jan.ai.\nAdditional dependencies could be installed to run without Cuda Toolkit installation.",
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"main": "dist/index.js",
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"node": "dist/node/index.cjs.js",
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@ -0,0 +1,36 @@
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{
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"sources": [
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{
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"filename": "Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/Qwen2.5-Coder-14B-Instruct-GGUF/resolve/main/Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf"
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}
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],
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"id": "qwen2.5-coder-14b-instruct",
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"object": "model",
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"name": "Qwen2.5 Coder 14B Instruct Q4",
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"version": "1.0",
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"description": "Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models. Significantly improvements in code generation, code reasoning and code fixing.",
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"format": "gguf",
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"settings": {
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"ctx_len": 32768,
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"prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
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"llama_model_path": "Qwen2.5-Coder-14B-Instruct-Q4_K_M.gguf",
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"ngl": 29
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},
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"parameters": {
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"temperature": 0.7,
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"top_p": 0.95,
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"stream": true,
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"max_tokens": 32768,
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"stop": ["<|endoftext|>", "<|im_end|>"],
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"frequency_penalty": 0,
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"presence_penalty": 0
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},
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"metadata": {
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"author": "QwenLM",
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"tags": ["14B", "Featured"],
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"size": 8990000000
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},
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"engine": "llama-cpp"
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}
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@ -0,0 +1,36 @@
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{
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"sources": [
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{
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"filename": "Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/Qwen2.5-Coder-32B-Instruct-GGUF/resolve/main/Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf"
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}
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],
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"id": "qwen2.5-coder-32b-instruct",
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"object": "model",
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"name": "Qwen2.5 Coder 32B Instruct Q4",
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"version": "1.0",
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"description": "Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models. Significantly improvements in code generation, code reasoning and code fixing.",
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"format": "gguf",
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"settings": {
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"ctx_len": 32768,
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"prompt_template": "<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant",
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"llama_model_path": "Qwen2.5-Coder-32B-Instruct-Q4_K_M.gguf",
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"ngl": 29
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},
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"parameters": {
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"temperature": 0.7,
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"top_p": 0.95,
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"stream": true,
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"max_tokens": 32768,
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"stop": ["<|endoftext|>", "<|im_end|>"],
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"frequency_penalty": 0,
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"presence_penalty": 0
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},
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"metadata": {
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"author": "QwenLM",
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"tags": ["32B", "Featured"],
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"size": 19900000000
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},
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"engine": "llama-cpp"
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}
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@ -49,6 +49,8 @@ const llama321bJson = require('./resources/models/llama3.2-1b-instruct/model.jso
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const llama323bJson = require('./resources/models/llama3.2-3b-instruct/model.json')
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const qwen257bJson = require('./resources/models/qwen2.5-7b-instruct/model.json')
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const qwen25coder7bJson = require('./resources/models/qwen2.5-coder-7b-instruct/model.json')
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const qwen25coder14bJson = require('./resources/models/qwen2.5-coder-14b-instruct/model.json')
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const qwen25coder32bJson = require('./resources/models/qwen2.5-coder-32b-instruct/model.json')
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const qwen2514bJson = require('./resources/models/qwen2.5-14b-instruct/model.json')
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const qwen2532bJson = require('./resources/models/qwen2.5-32b-instruct/model.json')
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const qwen2572bJson = require('./resources/models/qwen2.5-72b-instruct/model.json')
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@ -108,6 +110,8 @@ export default [
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llama323bJson,
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qwen257bJson,
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qwen25coder7bJson,
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qwen25coder14bJson,
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qwen25coder32bJson,
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qwen2514bJson,
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qwen2532bJson,
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qwen2572bJson,
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