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Sft Model Test1 by 4season

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  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/4season/sft_model_test1 

Sft Model Test1 Benchmarks

ARC: 67.06 vs 96.7 (so35)-30.7%
HellaSwag: 82.78 vs 95.3 (gpt4)-13.1%
MMLU: 67.47 vs 88.3 (so35)-23.6%
TruthfulQA: 59.83 vs 59 (gpt4)1.4%
WinoGrande: 84.29 vs 87.5 (gpt4)-3.7%
GSM8K: 77.86 vs 96.4 (so35)-19.2%
LLME Score: 0.1915
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sft Model Test1 (4season/sft_model_test1)

Sft Model Test1 Parameters and Internals

Additional Notes 
This model is a test version, sft model.
Supported Languages 
languages (English)
Training Details 
Methodology:
State-of-the-art instruction fine-tuning methods
LLM NameSft Model Test1
Repository 🤗https://huggingface.co/4season/sft_model_test1 
Model Size21.4b
Required VRAM43 GB
Updated2025-02-22
Maintainer4season
Model Typellama
Model Files  4.8 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   3.4 GB: 9-of-9
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Is Biased0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than 4season/sft_model_test1.

Rank the Sft Model Test1 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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