Arxiv:1910.09700 Conversational Endpoints compatible Feature-extraction Instruct Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Sakalti/qwen2.5-2.3B
Qwen2.5 2.3B Benchmarks
MMLU Pro: 1.92
GPQA: 0.22
MUSR: 5.54
BBH: 1.12
IFEval: 12.88 vs 88 (so35)-85.4%
MATH Lvl 5: 0.53
LLME Score: 0.21033
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)
Qwen2.5 2.3B Parameters and Internals
| LLM Name | Qwen2.5 2.3B |
| Repository 🤗 | https://huggingface.co/Sakalti/qwen2.5-2.3B |
| Model Size | 2.3b |
| Required VRAM | 4.7 GB |
| Updated | 2025-08-18 |
| Maintainer | Sakalti |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2Model |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124