Merged Model Autotrain compatible Chocolatine Conversational Dataset:jpacifico/french-orca-... En Endpoints compatible Fr Instruct Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1
Chocolatine 2 14B Instruct V2.0.1 Benchmarks
MMLU Pro: 47.77
GPQA: 18.9
MUSR: 23.53
BBH: 52.9
IFEval: 7.42 vs 88 (so35)-91.6%
MATH Lvl 5: 47.96
LLME Score: 0.2971
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 2 14B Instruct V2.0.1 Parameters and Internals
| LLM Name | Chocolatine 2 14B Instruct V2.0.1 |
| Repository 🤗 | https://huggingface.co/jpacifico/Chocolatine-2-14B-Instruct-v2.0.1 |
| Merged Model | Yes |
| Model Size | 14b |
| Required VRAM | 29.4 GB |
| Updated | 2025-02-15 |
| Maintainer | jpacifico |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | fr en |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|dummy_87|> |
| Vocabulary Size | 100352 |
| Torch Data Type | float16 |
Best Alternatives to Chocolatine 2 14B Instruct V2.0.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...hocolatine 2 14B Instruct V2.0 | 16K / 29.4 GB | 22 | 6 |
| 14B | 8K / 28.4 GB | 2735 | 307 |
| CausalLM 14B EXL2 | 8K / 8.5 GB | 9 | 3 |
| CausalLM 14B GPTQ | 8K / 9.7 GB | 19 | 20 |
| CausalLM 14B AWQ | 8K / 9.7 GB | 11 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than jpacifico/Chocolatine-2-14B-Instruct-v2.0.1 .
Rank the Chocolatine 2 14B Instruct V2.0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124