chore: add llama 3.1 8B gguf model (#3468)
* chore: add llama 3.1 8B gguf model * chore: add llama3.1 70B model * chore: add models to rollup * chore: fix tag * chore: fix size * fix: 8b model * Chore/add gemma2 model (#3471) * feat: add gemma 2 * feat: add gemma 2 * feat: correct ngl --------- Co-authored-by: Van QA <van@jan.ai> * feat: add featured tag --------- Co-authored-by: Van Pham <64197333+Van-QA@users.noreply.github.com> Co-authored-by: Van QA <van@jan.ai>
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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": "1.0.14",
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"version": "1.0.15",
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"description": "This extension embeds cortex.cpp, a lightweight inference engine written in C++. See https://nitro.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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@ -1,20 +1,20 @@
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{
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"sources": [
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{
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"filename": "gemma-2b-it-q4_k_m.gguf",
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"url": "https://huggingface.co/lmstudio-ai/gemma-2b-it-GGUF/resolve/main/gemma-2b-it-q4_k_m.gguf"
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"filename": "gemma-1.1-2b-it-q4_k_m.gguf",
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"url": "https://huggingface.co/bartowski/gemma-1.1-2b-it-GGUF/resolve/main/gemma-1.1-2b-it-Q4_K_M.gguf"
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}
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],
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"id": "gemma-2b",
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"id": "gemma-1.1-2b-it",
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"object": "model",
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"name": "Gemma 2B Q4",
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"name": "Gemma 1.1 2B Q4",
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"version": "1.3",
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"description": "Gemma is built from the same technology with Google's Gemini.",
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"format": "gguf",
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"settings": {
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"ctx_len": 8192,
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"prompt_template": "<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model",
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"llama_model_path": "gemma-2b-it-q4_k_m.gguf",
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"llama_model_path": "gemma-1.1-2b-it-Q4_K_M.gguf",
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"ngl": 19
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},
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"parameters": {
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@ -29,7 +29,7 @@
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"metadata": {
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"author": "Google",
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"tags": ["2B", "Finetuned", "Tiny"],
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"size": 1500000000
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"size": 1630000000
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},
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"engine": "nitro"
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}
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@ -1,20 +1,20 @@
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{
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"sources": [
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{
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"filename": "gemma-7b-it-q4_K_M.gguf",
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"url": "https://huggingface.co/mmnga/gemma-7b-it-gguf/resolve/main/gemma-7b-it-q4_K_M.gguf"
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"filename": "gemma-1.1-7b-it-q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/gemma-1.1-7b-it-GGUF/resolve/main/gemma-1.1-7b-it-Q4_K_M.gguf"
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}
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],
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"id": "gemma-7b",
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"id": "gemma-1.1-7b-it",
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"object": "model",
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"name": "Gemma 7B Q4",
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"name": "Gemma 1.1 7B Q4",
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"version": "1.2",
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"description": "Google's Gemma is built for multilingual purpose",
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"format": "gguf",
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"settings": {
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"ctx_len": 8192,
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"prompt_template": "<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model",
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"llama_model_path": "gemma-7b-it-q4_K_M.gguf",
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"llama_model_path": "gemma-1.1-7b-it-q4_K_M.gguf",
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"ngl": 29
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},
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"parameters": {
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@ -0,0 +1,42 @@
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{
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"sources": [
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{
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"filename": "gemma-2-27b-it-Q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/gemma-2-27b-it-GGUF/resolve/main/gemma-2-27b-it-Q4_K_M.gguf"
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}
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],
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"id": "gemma-2-27b-it",
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"object": "model",
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"name": "Gemma 2 27B Q4",
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"version": "1.0",
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"description": "Gemma is built from the same technology with Google's Gemini.",
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"format": "gguf",
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"settings": {
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"ctx_len": 8192,
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"prompt_template": "<bos><start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n<end_of_turn>\n<start_of_turn>model\n",
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"llama_model_path": "gemma-2-27b-it-Q4_K_M.gguf",
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"ngl": 47
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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": 8192,
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"stop": [
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"<end_of_turn>"
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],
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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": "Google",
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"tags": [
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"27B",
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"Conversational",
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"Text-generation",
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"Featured"
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],
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"size": 16600000000
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},
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"engine": "nitro"
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}
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@ -0,0 +1,43 @@
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{
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"sources": [
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{
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"filename": "gemma-2-2b-it-Q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/gemma-2-2b-it-GGUF/resolve/main/gemma-2-2b-it-Q4_K_M.gguf"
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}
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],
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"id": "gemma-2-2b-it",
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"object": "model",
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"name": "Gemma 2 2B Q4",
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"version": "1.0",
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"description": "Gemma is built from the same technology with Google's Gemini.",
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"format": "gguf",
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"settings": {
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"ctx_len": 8192,
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"prompt_template": "<bos><start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n<end_of_turn>\n<start_of_turn>model\n",
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"llama_model_path": "gemma-2-2b-it-Q4_K_M.gguf",
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"ngl": 27
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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": 8192,
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"stop": [
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"<end_of_turn>"
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],
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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": "Google",
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"tags": [
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"2B",
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"Tiny",
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"Conversational",
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"Text-generation",
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"Featured"
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],
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"size": 1710000000
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},
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"engine": "nitro"
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}
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@ -0,0 +1,42 @@
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{
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"sources": [
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{
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"filename": "gemma-2-9b-it-Q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/gemma-2-9b-it-GGUF/resolve/main/gemma-2-9b-it-Q4_K_M.gguf"
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}
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],
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"id": "gemma-2-9b-it",
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"object": "model",
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"name": "Gemma 2 9B Q4",
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"version": "1.0",
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"description": "Gemma is built from the same technology with Google's Gemini.",
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"format": "gguf",
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"settings": {
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"ctx_len": 8192,
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"prompt_template": "<bos><start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n<end_of_turn>\n<start_of_turn>model\n",
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"llama_model_path": "gemma-2-9b-it-Q4_K_M.gguf",
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"ngl": 43
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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": 8192,
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"stop": [
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"<end_of_turn>"
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],
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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": "Google",
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"tags": [
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"9B",
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"Conversational",
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"Text-generation",
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"Featured"
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],
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"size": 5760000000
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},
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"engine": "nitro"
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}
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@ -2,7 +2,7 @@
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"sources": [
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{
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"filename": "Meta-Llama-3-8B-Instruct-Q4_K_M.gguf",
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"url": "https://huggingface.co/lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_K_M.gguf"
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"url": "https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-GGUF/resolve/main/Meta-Llama-3-8B-Instruct-Q4_K_M.gguf"
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}
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],
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"id": "llama3-8b-instruct",
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@ -28,7 +28,7 @@
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},
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"metadata": {
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"author": "MetaAI",
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"tags": ["7B", "Featured"],
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"tags": ["8B", "Featured"],
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"size": 4920000000
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},
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"engine": "nitro"
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@ -0,0 +1,42 @@
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{
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"sources": [
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{
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"filename": "Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/Meta-Llama-3.1-70B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf"
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}
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],
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"id": "llama3.1-70b-instruct",
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"object": "model",
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"name": "Llama 3.1 70B Q4 Instruct",
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"version": "1.0",
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"description": "Meta's Llama 3.1 excels at general usage situations, including chat, general world knowledge, and coding.",
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"format": "gguf",
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"settings": {
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"ctx_len": 131072,
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"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",
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"llama_model_path": "Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf",
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"ngl": 33
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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": 8192,
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"stop": [
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"<|end_of_text|>",
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"<|eot_id|>",
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"<|eom_id|>"
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],
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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": "MetaAI",
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"tags": [
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"70B",
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"Featured"
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],
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"size": 42500000000
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},
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"engine": "nitro"
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}
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@ -0,0 +1,42 @@
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{
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"sources": [
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{
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"filename": "Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf",
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"url": "https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf"
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}
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],
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"id": "llama3.1-8b-instruct",
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"object": "model",
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"name": "Llama 3.1 8B Q4 Instruct",
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"version": "1.0",
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"description": "Meta's Llama 3.1 excels at general usage situations, including chat, general world knowledge, and coding.",
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"format": "gguf",
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"settings": {
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"ctx_len": 131072,
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"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",
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"llama_model_path": "Meta-Llama-3.1-8B-Instruct.Q4_K_M.gguf",
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"ngl": 33
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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": 8192,
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"stop": [
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"<|end_of_text|>",
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"<|eot_id|>",
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"<|eom_id|>"
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],
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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": "MetaAI",
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"tags": [
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"8B",
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"Featured"
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],
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"size": 4920000000
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},
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"engine": "nitro"
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}
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@ -12,8 +12,8 @@ const codeninja7bJson = require('./resources/models/codeninja-1.0-7b/model.json'
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const commandr34bJson = require('./resources/models/command-r-34b/model.json')
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const deepseekCoder13bJson = require('./resources/models/deepseek-coder-1.3b/model.json')
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const deepseekCoder34bJson = require('./resources/models/deepseek-coder-34b/model.json')
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const gemma2bJson = require('./resources/models/gemma-2b/model.json')
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const gemma7bJson = require('./resources/models/gemma-7b/model.json')
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const gemma112bJson = require('./resources/models/gemma-1.1-2b/model.json')
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const gemma117bJson = require('./resources/models/gemma-1.1-7b/model.json')
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const llama2Chat70bJson = require('./resources/models/llama2-chat-70b/model.json')
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const llama2Chat7bJson = require('./resources/models/llama2-chat-7b/model.json')
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const llamacorn1bJson = require('./resources/models/llamacorn-1.1b/model.json')
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@ -40,7 +40,11 @@ const aya35bJson = require('./resources/models/aya-23-35b/model.json')
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const phimediumJson = require('./resources/models/phi3-medium/model.json')
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const codestralJson = require('./resources/models/codestral-22b/model.json')
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const qwen2Json = require('./resources/models/qwen2-7b/model.json')
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const llama318bJson = require('./resources/models/llama3.1-8b-instruct/model.json')
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const llama3170bJson = require('./resources/models/llama3.1-70b-instruct/model.json')
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const gemma22bJson = require('./resources/models/gemma-2-2b/model.json')
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const gemma29bJson = require('./resources/models/gemma-2-9b/model.json')
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const gemma227bJson = require('./resources/models/gemma-2-27b/model.json')
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export default [
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{
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@ -60,8 +64,8 @@ export default [
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commandr34bJson,
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deepseekCoder13bJson,
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deepseekCoder34bJson,
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gemma2bJson,
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gemma7bJson,
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gemma112bJson,
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gemma117bJson,
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llama2Chat70bJson,
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llama2Chat7bJson,
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llamacorn1bJson,
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@ -87,7 +91,12 @@ export default [
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aya8bJson,
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aya35bJson,
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codestralJson,
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qwen2Json
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qwen2Json,
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llama318bJson,
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llama3170bJson,
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gemma22bJson,
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gemma29bJson,
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gemma227bJson
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]),
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NODE: JSON.stringify(`${packageJson.name}/${packageJson.node}`),
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DEFAULT_SETTINGS: JSON.stringify(defaultSettingJson),
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