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Openbuddy Mistral 10B V17.1 32K 8.0bpw H8 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Openbuddy Mistral 10B V17.1 32K 8.0bpw H8 EXL2   URL Share it on

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  Autotrain compatible   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/openbuddy-mistral-10b-v17.1-32k-8.0bpw-h8-exl2 

Openbuddy Mistral 10B V17.1 32K 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.14036
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openbuddy Mistral 10B V17.1 32K 8.0bpw H8 EXL2 (LoneStriker/openbuddy-mistral-10b-v17.1-32k-8.0bpw-h8-exl2)
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Openbuddy Mistral 10B V17.1 32K 8.0bpw H8 EXL2 Parameters and Internals

LLM NameOpenbuddy Mistral 10B V17.1 32K 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/openbuddy-mistral-10b-v17.1-32k-8.0bpw-h8-exl2 
Model Size10b
Required VRAM10.9 GB
Updated2025-07-31
MaintainerLoneStriker
Model Typemistral
Model Files  8.6 GB: 1-of-2   2.3 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size36608
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/openbuddy-mistral-10b-v17.1-32k-8.0bpw-h8-exl2.

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Release v20241124
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