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Llama 3 70B Chinese Function Calling AWQ 4bit by iwaitu

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  4-bit   4bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/iwaitu/llama-3-70b-chinese-function-calling-AWQ-4bit 

Llama 3 70B Chinese Function Calling AWQ 4bit Benchmarks

LLME Score: 0.18904
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Chinese Function Calling AWQ 4bit (iwaitu/llama-3-70b-chinese-function-calling-AWQ-4bit)

Llama 3 70B Chinese Function Calling AWQ 4bit Parameters and Internals

LLM NameLlama 3 70B Chinese Function Calling AWQ 4bit
Repository 🤗https://huggingface.co/iwaitu/llama-3-70b-chinese-function-calling-AWQ-4bit 
Base Model(s)  ...3 70B Chinese Function Calling   iwaitu/llama3-70b-chinese-function-calling
Model Size70b
Required VRAM39.9 GB
Updated2024-07-26
Maintaineriwaitu
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|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Senku 70B AWQ 4bit GEMM31K / 36.7 GB71
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Note: green Score (e.g. "73.2") means that the model is better than iwaitu/llama-3-70b-chinese-function-calling-AWQ-4bit.

Rank the Llama 3 70B Chinese Function Calling AWQ 4bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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