* 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
860 B
JSON
23 lines
860 B
JSON
{
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"source_url": "https://huggingface.co/janhq/Solar-10.7B-Instruct-v1.0/resolve/main/solar-10.7b-instruct-v1.0.Q4_K_M.gguf",
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"id": "solar-10.7b-instruct",
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"object": "model",
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"name": "Solar Instruct 10.7B Q4",
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"version": "1.0",
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"description": "SOLAR-10.7B model built on the Llama2 architecture with Depth Up-Scaling and integrated Mistral 7B weights. Its robustness and adaptability make it ideal for fine-tuning applications, significantly enhancing performance with simple instruction-based techniques.",
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"format": "gguf",
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"settings": {
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"ctx_len": 2048,
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"prompt_template": "### User: {prompt}\n### Assistant:"
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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": "Upstage, Jan",
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"tags": ["11B","Finetuned"],
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"size": 6360000000
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},
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"engine": "nitro"
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}
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