4-bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/FINGU-AI/Chocolatine-Fusion-14B
Chocolatine Fusion 14B Benchmarks
MMLU Pro: 47.35
GPQA: 16.22
MUSR: 21.99
BBH: 48.6
IFEval: 69.49 vs 88 (so35)-21%
MATH Lvl 5: 38.52
LLME Score: 0.35899
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)
Chocolatine Fusion 14B Parameters and Internals
| LLM Name | Chocolatine Fusion 14B |
| Repository 🤗 | https://huggingface.co/FINGU-AI/Chocolatine-Fusion-14B |
| Model Size | 14b |
| Required VRAM | 9.9 GB |
| Updated | 2025-07-24 |
| Maintainer | FINGU-AI |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151665 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Chocolatine Fusion 14B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 14B Instruct 1M | 986K / 29.6 GB | 21651 | 315 |
| T3Q Qwen2.5 14B V1.0 E3 | 986K / 29.7 GB | 852 | 28 |
| ZYH LLM Qwen2.5 14B V4 | 986K / 29.7 GB | 881 | 8 |
| ZYH LLM Qwen2.5 14B V3 | 986K / 29.7 GB | 1484 | 8 |
| Qwen2.5 14B 1M YOYO V3 | 986K / 29.7 GB | 254 | 4 |
| Impish QWEN 14B 1M | 986K / 29.7 GB | 426 | 16 |
| Qwen2.5 14B YOYO Latest V2 | 986K / 29.7 GB | 129 | 0 |
| Qwen2.5 14B YOYO V4 | 986K / 29.7 GB | 15 | 5 |
| ...14B Instruct 1M GRPO Reasoning | 986K / 29.7 GB | 18 | 4 |
| Etr1o V1.2 | 986K / 29.7 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than FINGU-AI/Chocolatine-Fusion-14B .
Rank the Chocolatine Fusion 14B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124