Merged Model Base model:arcee-ai/raspberry-... Base model:qwen/qwen2.5-3b Base model:qwen/qwen2.5-3b-ins... Model-index Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b
Rombos LLM V2.5.1 Qwen 3B Benchmarks
MMLU Pro: 19.34
GPQA: 1.68
MUSR: 7.82
BBH: 15.06
IFEval: 25.66 vs 88 (so35)-70.8%
MATH Lvl 5: 12.08
LLME Score: 0.25748
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)
Rombos LLM V2.5.1 Qwen 3B Parameters and Internals
| LLM Name | Rombos LLM V2.5.1 Qwen 3B |
| Repository 🤗 | https://huggingface.co/rombodawg/Rombos-LLM-V2.5.1-Qwen-3b |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 3b |
| Required VRAM | 6.8 GB |
| Updated | 2025-02-22 |
| Maintainer | rombodawg |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.43.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Rombos LLM V2.5.1 Qwen 3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Saba1.5 Pro 3B | 128K / 5.8 GB | 74 | 1 |
| Saba2 3B | 128K / 6.2 GB | 56 | 0 |
| Light 1.1 3B | 128K / 6.2 GB | 6 | 1 |
| SmallThinker 3B Preview | 32K / 6.8 GB | 109315 | 386 |
| Qwen2.5 3B Instruct | 32K / 6.2 GB | 595245 | 191 |
| Qwen2.5 3B | 32K / 6.2 GB | 207196 | 67 |
| German R1 | 32K / 6.2 GB | 626 | 21 |
| Calme 3.2 Baguette 3B | 32K / 11 GB | 2898 | 1 |
| Calme 3.1 Baguette 3B | 32K / 6.2 GB | 3105 | 1 |
| Calme 3.2 Instruct 3B | 32K / 11 GB | 3030 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than rombodawg/Rombos-LLM-V2.5.1-Qwen-3b .
Rank the Rombos LLM V2.5.1 Qwen 3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227