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Krx Q25 7B Sft V4 by lsw0570168

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Model Card on HF 🤗: https://huggingface.co/lsw0570168/krx-q25-7b-sft-v4 

Krx Q25 7B Sft V4 Benchmarks

LLME Score: 0.23217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Krx Q25 7B Sft V4 (lsw0570168/krx-q25-7b-sft-v4)

Krx Q25 7B Sft V4 Parameters and Internals

LLM NameKrx Q25 7B Sft V4
Repository 🤗https://huggingface.co/lsw0570168/krx-q25-7b-sft-v4 
Base Model(s)  mmm   /mmm
Model Size7b
Required VRAM15.2 GB
Updated2025-01-25
Maintainerlsw0570168
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Quantization Typeq25
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than lsw0570168/krx-q25-7b-sft-v4.

Rank the Krx Q25 7B Sft V4 Capabilities

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Release v20241227
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