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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

Vikhrmodels Vikhr 7B Instruct 0.4 4bits Benchmarks

LLME Score: 0.21549
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 Parameters and Internals

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
Updated2024-09-07
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
Vikhrmodels Vikhr 7B Instruct 0.4 4bits (RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits)

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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.

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Instruction Following and Task Automation  
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Release v2024072803
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