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Distill Qw Test by aevalone

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  4bit   Autotrain compatible   Conversational Dataset:magpie-align/magpie-re...   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/aevalone/distill_qw_test 

Distill Qw Test Benchmarks

MMLU Pro: 34.35
GPQA: 6.71
MUSR: 6.05
BBH: 33.1
IFEval: 74.09 vs 88 (so35)-15.8%
MATH Lvl 5: 47.81
LLME Score: 0.3587
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Distill Qw Test (aevalone/distill_qw_test)

Distill Qw Test Parameters and Internals

LLM NameDistill Qw Test
Repository 🤗https://huggingface.co/aevalone/distill_qw_test 
Base Model(s)  unsloth/qwen2.5-7b-instruct-bnb-4bit   unsloth/qwen2.5-7b-instruct-bnb-4bit
Model Size7b
Required VRAM15.2 GB
Updated2025-03-12
Maintaineraevalone
Model Typeqwen2
Instruction-BasedYes
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 Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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...5 7B Instruct Unsloth Bnb 4bit32K / 7.2 GB815542
Zirel 7B Math32K / 15.2 GB330
Mini QwQ32K / 15.2 GB391
Qwen2.5 7B Instruct Bnb 4bit32K / 5.5 GB86090311
AetherSett32K / 15.2 GB341
SphinX32K / 15.2 GB321
ReasonTest32K / 15.2 GB110

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Release v20241227
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