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SciPhi Mistral 7B 32K by SciPhi

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

SciPhi Mistral 7B 32K Benchmarks

LLME Score: 0.19612
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 Parameters and Internals

LLM NameSciPhi Mistral 7B 32K
Repository 🤗https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k 
Model Size7b
Required VRAM29 GB
Updated2024-09-07
MaintainerSciPhi
Model Typemistral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   9.1 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32
SciPhi Mistral 7B 32K (SciPhi/SciPhi-Mistral-7B-32k)

Quantized Models of the SciPhi Mistral 7B 32K

Model
Likes
Downloads
VRAM
SciPhi Mistral 7B 32K GGUF141983 GB
SciPhi Mistral 7B 32K GPTQ4104 GB
SciPhi Mistral 7B 32K AWQ4114 GB

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

Rank the SciPhi Mistral 7B 32K Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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