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Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit by collaiborateorg

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Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit is an open-source language model by collaiborateorg. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  4-bit   4bit   Autotrain compatible   Awq Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Biomed   Collaiborate   Conversational Dataset:collaiborateorg/biomed...   Endpoints compatible   Generated from trainer   Healthcare & lifesciences   Instruct   License:llama3   Llama   Medical   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2-AWQ-4Bit 

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit Benchmarks

LLME Score: 0.13115
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit (collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2-AWQ-4Bit)

Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit Parameters and Internals

LLM NameCollaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit
Repository 🤗https://huggingface.co/collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2-AWQ-4Bit 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM5.8 GB
Updated2024-07-23
Maintainercollaiborateorg
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2-AWQ-4Bit.

Rank the Collaiborator MEDLLM Llama 3 8B V2 AWQ 4Bit 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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