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Vikhrmodels Vikhr 7B Instruct 0.4 4bits by RichardErkhov

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  4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits 

Vikhrmodels Vikhr 7B Instruct 0.4 4bits Benchmarks

LLME Score: 0.17826
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vikhrmodels Vikhr 7B Instruct 0.4 4bits (RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits)

Vikhrmodels Vikhr 7B Instruct 0.4 4bits Parameters and Internals

Model Type 
text generation
Additional Notes 
Quantization made by Richard Erkhov using bnb 4bits.
LLM NameVikhrmodels Vikhr 7B Instruct 0.4 4bits
Repository 🤗https://huggingface.co/RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits 
Model Size7b
Required VRAM5.2 GB
Updated2025-03-14
MaintainerRichardErkhov
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size79099
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits.

Rank the Vikhrmodels Vikhr 7B Instruct 0.4 4bits Capabilities

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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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Release v20241227
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