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Shisa Gamma 7B V1 by augmxnt

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  Autotrain compatible Dataset:augmxnt/ultra-orca-bor...   En   Endpoints compatible   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/augmxnt/shisa-gamma-7b-v1 

Shisa Gamma 7B V1 Benchmarks

ARC: 53.16 vs 96.7 (so35)-45%
HellaSwag: 77.3 vs 95.3 (gpt4)-18.9%
MMLU: 55.23 vs 88.3 (so35)-37.5%
TruthfulQA: 50.73 vs 59 (gpt4)-14%
WinoGrande: 73.88 vs 87.5 (gpt4)-15.6%
GSM8K: 22.74 vs 96.4 (so35)-76.4%
LLME Score: 0.24574
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shisa Gamma 7B V1 (augmxnt/shisa-gamma-7b-v1)

Shisa Gamma 7B V1 Parameters and Internals

Additional Notes 
We applied a version of our fine-tune data set onto Japanese Stable LM Base Gamma 7B and it performed pretty well.
Supported Languages 
ja (Japanese), en (English)
LLM NameShisa Gamma 7B V1
Repository 🤗https://huggingface.co/augmxnt/shisa-gamma-7b-v1 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintaineraugmxnt
Model Typemistral
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   2.7 GB: 4-of-4
Supported Languagesja en
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
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 augmxnt/shisa-gamma-7b-v1.

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Release v20241227
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