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Mistral 7B V0.1 Signtensors 5 Over 16 by awnr

 »  All LLMs  »  awnr  »  Mistral 7B V0.1 Signtensors 5 Over 16   URL Share it on

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  Autotrain compatible   Endpoints compatible   Mistral   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/awnr/Mistral-7B-v0.1-signtensors-5-over-16 

Mistral 7B V0.1 Signtensors 5 Over 16 Benchmarks

MMLU Pro: 21.75
GPQA: 4.14
MUSR: 6.14
BBH: 17.54
IFEval: 21.18 vs 88 (so35)-75.9%
MATH Lvl 5: 2.19
LLME Score: 0.24316
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.1 Signtensors 5 Over 16 (awnr/Mistral-7B-v0.1-signtensors-5-over-16)

Mistral 7B V0.1 Signtensors 5 Over 16 Parameters and Internals

Model Type 
pre-trained
Additional Notes 
I'm experimenting with the weight matrices in neural networks. This is a clone of `Mistral-7B-v0.1` with some weight matrices replaced. I'm interested in seeing how the adjustments affect performance on existing metrics.
Supported Languages 
English (NLP)
LLM NameMistral 7B V0.1 Signtensors 5 Over 16
Repository 🤗https://huggingface.co/awnr/Mistral-7B-v0.1-signtensors-5-over-16 
Model Size7b
Required VRAM14.4 GB
Updated2025-01-24
Maintainerawnr
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than awnr/Mistral-7B-v0.1-signtensors-5-over-16.

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Release v20241227
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