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SciPhi Mistral 7B 32K GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:sciphi/sc... Base model:sciphi/sciphi-mistr...   Gptq   Mistral   Quantized   Region:us   Safetensors

SciPhi Mistral 7B 32K GPTQ Benchmarks

LLME Score: 0.16462
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SciPhi Mistral 7B 32K GPTQ Parameters and Internals

LLM NameSciPhi Mistral 7B 32K GPTQ
Repository 🤗https://huggingface.co/TheBloke/SciPhi-Mistral-7B-32k-GPTQ 
Model NameSciPhi Mistral 7B 32K
Model CreatorSciPhi
Base Model(s)  SciPhi Mistral 7B 32K   SciPhi/SciPhi-Mistral-7B-32k
Model Size7b
Required VRAM4.2 GB
Updated2024-09-16
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
SciPhi Mistral 7B 32K GPTQ (TheBloke/SciPhi-Mistral-7B-32k-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SciPhi-Mistral-7B-32k-GPTQ.

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Release v2024072803
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