Vigogne 2 7B Instruct by bofenghuang

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  Autotrain compatible   Fr   Instruct   Llama   Llama2   Pytorch   Region:us   Sharded

Vigogne 2 7B Instruct Benchmarks

Vigogne 2 7B Instruct Parameters and Internals

LLM NameVigogne 2 7B Instruct
Repository ๐Ÿค—https://huggingface.co/bofenghuang/vigogne-2-7b-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2024-10-18
Maintainerbofenghuang
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.7 GB: 7-of-7
Supported Languagesfr
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
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
Vigogne 2 7B Instruct (bofenghuang/vigogne-2-7b-instruct)

Quantized Models of the Vigogne 2 7B Instruct

Model
Likes
Downloads
VRAM
Vigogne 2 7B Instruct GGUF410412 GB
Vigogne 2 7B Instruct GPTQ3433 GB
Vigogne 2 7B Instruct GGML232 GB

Best Alternatives to Vigogne 2 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Llama 2 7B 32K Instruct32K / 13.5 GB7615160
Qwen2 7B Instruct Llama32K / 15.2 GB123
Qwen2 7B Instruct Mistral32K / 15.2 GB31
...ls Vikhr 7B Instruct 0.4 4bits32K / 5.2 GB50
AIRIC The Mistral32K / 14.4 GB6057
Vikhr 7B Instruct 0.332K / 14.6 GB184
... Samantha Philosopher 7B Slerp32K / 13.4 GB12
Vikhr 7B Instruct Merged32K / 14.6 GB34
Clinical Ehr Prototype 0.132K / 14.4 GB142
...stral 7B Instruct V0.1 Sharded32K / 14.4 GB155913
Note: green Score (e.g. "73.2") means that the model is better than bofenghuang/vigogne-2-7b-instruct.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803