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Vigogne 2 13B Instruct by bofenghuang

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  Autotrain compatible   Fr   Instruct   Llama   Llama2   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bofenghuang/vigogne-2-13b-instruct 

Vigogne 2 13B Instruct Benchmarks

ARC: 61.18 vs 96.7 (so35)-36.7%
HellaSwag: 83.25 vs 95.3 (gpt4)-12.6%
MMLU: 55.92 vs 88.3 (so35)-36.7%
TruthfulQA: 51.08 vs 59 (gpt4)-13.4%
WinoGrande: 77.35 vs 87.5 (gpt4)-11.6%
GSM8K: 2.05 vs 96.4 (so35)-97.9%
LLME Score: 0.14214
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vigogne 2 13B Instruct (bofenghuang/vigogne-2-13b-instruct)
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Vigogne 2 13B Instruct Parameters and Internals

Model Type 
text generation, instruction-following
Use Cases 
Areas:
research, applications utilizing French instructions
Limitations:
model might generate harmful or biased content, incorrect information or unhelpful answers
Additional Notes 
The model is designed for instruction-following in the French language.
Supported Languages 
fr (native)
LLM NameVigogne 2 13B Instruct
Repository 🤗https://huggingface.co/bofenghuang/vigogne-2-13b-instruct 
Model Size13b
Required VRAM25.9 GB
Updated2025-08-17
Maintainerbofenghuang
Model Typellama
Instruction-BasedYes
Model Files  1.9 GB: 1-of-14   1.9 GB: 2-of-14   1.9 GB: 3-of-14   1.9 GB: 4-of-14   1.9 GB: 5-of-14   1.9 GB: 6-of-14   1.9 GB: 7-of-14   1.9 GB: 8-of-14   1.9 GB: 9-of-14   1.9 GB: 10-of-14   1.9 GB: 11-of-14   1.9 GB: 12-of-14   1.9 GB: 13-of-14   1.2 GB: 14-of-14   1.9 GB: 1-of-14   1.9 GB: 2-of-14   1.9 GB: 3-of-14   1.9 GB: 4-of-14   1.9 GB: 5-of-14   1.9 GB: 6-of-14   1.9 GB: 7-of-14   1.9 GB: 8-of-14   1.9 GB: 9-of-14   1.9 GB: 10-of-14   1.9 GB: 11-of-14   1.9 GB: 12-of-14   1.9 GB: 13-of-14   1.2 GB: 14-of-14
Supported Languagesfr
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Vigogne 2 13B Instruct

Model
Likes
Downloads
VRAM
Vigogne 2 13B Instruct GGUF3725 GB
Vigogne 2 13B Instruct GPTQ3167 GB
Vigogne 2 13B Instruct GGML625 GB

Best Alternatives to Vigogne 2 13B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
NexusRaven V2 13B16K / 26 GB4303469
CodeLlama 13B Instruct Hf16K / 26 GB12751154
CodeLlama 13B MORepair16K / 26 GB122
CodeLlama 13B Instruct Hf16K / 26 GB164225
TableLLM 13B16K / 26 GB101029
NexusRaven 13B16K / 26 GB36104
Panda Coder 13B16K / 26 GB1713
... Llama 2 13B Instruct Text2sql16K / 26 GB3527
Gen Sim16K / 0.3 GB72
Llama 3 13B Instruct Ft8K / 26.1 GB52
Note: green Score (e.g. "73.2") means that the model is better than bofenghuang/vigogne-2-13b-instruct.

Rank the Vigogne 2 13B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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