Llama3 8B Vbt Merged 4bit Vllm by davidbzyk

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Llama3 8B Vbt Merged 4bit Vllm is an open-source language model by davidbzyk. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.15.

  Merged Model   4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Llama3 8B Vbt Merged 4bit Vllm Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Vbt Merged 4bit Vllm (davidbzyk/llama3-8b-vbt-merged_4bit-vllm)
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Llama3 8B Vbt Merged 4bit Vllm Parameters and Internals

LLM NameLlama3 8B Vbt Merged 4bit Vllm
Repository ๐Ÿค—https://huggingface.co/davidbzyk/llama3-8b-vbt-merged_4bit-vllm 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Merged ModelYes
Model Size8b
Required VRAM5.8 GB
Updated2024-08-05
Maintainerdavidbzyk
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than davidbzyk/llama3-8b-vbt-merged_4bit-vllm.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20260327b