Distill Qw Test is an open-source language model by aevalone. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.28.
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: 0.27737
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Distill Qw Test Parameters and Internals
| LLM Name | Distill Qw Test |
| Repository 🤗 | https://huggingface.co/aevalone/distill_qw_test |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-05-04 |
| Maintainer | aevalone |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Distill Qw Test
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M 4bit | 986K / 4.3 GB | 422 | 10 |
| ...B Instruct 1M Unsloth Bnb 4bit | 986K / 7.5 GB | 77 | 3 |
| Qwen2.5 7B Instruct 1M 8bit | 986K / 8.1 GB | 77 | 4 |
| Qwen2.5 7B Instruct 1M 6bit | 986K / 6.2 GB | 30 | 2 |
| Alisia 7B Instruct V1 | 128K / 15.4 GB | 114 | 2 |
| ...5 7B Instruct SFT Meme LoRA V7 | 128K / 15.2 GB | 6 | 0 |
| Gte Qwen2 7B Instruct 4bit DWQ | 128K / 4.3 GB | 78 | 3 |
| Bullshit 7B V2 | 32K / 15.2 GB | 294 | 0 |
| Zirel 7B Math | 32K / 15.2 GB | 22 | 0 |
| Securereview 7B Mlx 4bit | 32K / 4.3 GB | 15 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than aevalone/distill_qw_test .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a