ecc866427b
* add(mixtral): add model.json for mixtral * archived some models + update the model.json * add(model): add pandora 10.7b * fix(model): update description * fix(model): pump vers and change the featured model to trinity * fix(model): archive neuralchat * fix(model): decapriated all old models * fix(trinity): add cover image and change description * fix(trinity): update cover png * add(pandora): cover image * fix(pandora): cover image * add(mixtral): add model.json for mixtral * archived some models + update the model.json * add(model): add pandora 10.7b * fix(model): update description * fix(model): pump vers and change the featured model to trinity * fix(model): archive neuralchat * fix(model): decapriated all old models * fix(trinity): add cover image and change description * fix(trinity): update cover png * add(pandora): cover image * fix(pandora): cover image * chore: model desc nits * fix(models): adjust the size for solars and pandoras * add(mixtral): description --------- Co-authored-by: 0xSage <n@pragmatic.vc>
23 lines
784 B
JSON
23 lines
784 B
JSON
{
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"source_url": "https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/resolve/main/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf",
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"id": "mixtral-8x7b-instruct",
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"object": "model",
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"name": "Mixtral 8x7B Instruct Q4",
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"version": "1.0",
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"description": "The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.",
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"format": "gguf",
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"settings": {
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"ctx_len": 2048,
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"prompt_template": "[INST] {prompt} [/INST]"
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},
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"parameters": {
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"max_tokens": 2048
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},
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"metadata": {
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"author": "MistralAI, TheBloke",
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"tags": ["MOE", "Foundational Model"],
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"size": 26440000000
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},
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"engine": "nitro"
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}
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