Llama3 70B Chinese Chat AWQ 32K by bujido

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama3 70B Chinese Chat AWQ 32K Benchmarks

Llama3 70B Chinese Chat AWQ 32K (bujido/Llama3-70B-Chinese-Chat-AWQ-32k)

Llama3 70B Chinese Chat AWQ 32K Parameters and Internals

Model Type 
text generation, Chinese chat
Use Cases 
Areas:
Chinese dialogue tasks
Applications:
Chinese chat scenarios
Primary Use Cases:
Chinese dialogue generation
Considerations:
Experimental feature to handle longer contexts may affect performance.
Additional Notes 
Utilizes 4-bit AWQ quantization to maintain performance in resource-limited environments. Supports optional context extension to 32k tokens.
Supported Languages 
Chinese (proficient)
LLM NameLlama3 70B Chinese Chat AWQ 32K
Repository ๐Ÿค—https://huggingface.co/bujido/Llama3-70B-Chinese-Chat-AWQ-32k 
Base Model(s)  Llama3 70B Chinese Chat   shenzhi-wang/Llama3-70B-Chinese-Chat
Model Size70b
Required VRAM39.9 GB
Updated2024-12-26
Maintainerbujido
Model Typellama
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.4 GB: 8-of-9   2.1 GB: 9-of-9
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
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 bujido/Llama3-70B-Chinese-Chat-AWQ-32k.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217