Model Card on HF 🤗: https://huggingface.co/sumink/bbhqwen6
Bbhqwen6 Benchmarks
MMLU Pro: 1.7
GPQA: 1.12
MUSR: 2.25
BBH: 2.13
IFEval: 18.93 vs 88 (so35)-78.5%
MATH Lvl 5: 0.08
LLME Score: 0.23979
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)
Bbhqwen6 Parameters and Internals
| LLM Name | Bbhqwen6 |
| Repository 🤗 | https://huggingface.co/sumink/bbhqwen6 |
| Model Size | 3.1b |
| Required VRAM | 12.3 GB |
| Updated | 2025-06-09 |
| Maintainer | sumink |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Bbhqwen6
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Saba Passthrough 2 | 128K / 6.2 GB | 14 | 0 |
| OpenCognito R2 | 32K / 6.2 GB | 259 | 0 |
| TethysAI Vortex Reasoning | 32K / 6.2 GB | 11 | 0 |
| Bbhqwen | 32K / 12.3 GB | 5 | 0 |
| Bbhqwen2 | 32K / 12.3 GB | 5 | 0 |
| Bbhqwen4 | 32K / 12.3 GB | 6 | 0 |
| Bbhqwen5 | 32K / 12.3 GB | 5 | 0 |
| Bbhqwen3 | 32K / 12.3 GB | 5 | 0 |
| Tamed Sigma | 32K / 6.2 GB | 7 | 0 |
| Tamed Sigma Hi | 32K / 6.2 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sumink/bbhqwen6 .
Rank the Bbhqwen6 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124