Taiwan LLM 8x7B DPO AWQ by yentinglin

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Taiwan LLM 8x7B DPO AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Taiwan LLM 8x7B DPO AWQ Parameters and Internals

LLM NameTaiwan LLM 8x7B DPO AWQ
Repository ๐Ÿค—https://huggingface.co/yentinglin/Taiwan-LLM-8x7B-DPO-awq 
Model Size6.5b
Required VRAM24.7 GB
Updated2024-09-29
Maintaineryentinglin
Model Typemixtral
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.7 GB: 5-of-5
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16
Taiwan LLM 8x7B DPO AWQ (yentinglin/Taiwan-LLM-8x7B-DPO-awq)

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Note: green Score (e.g. "73.2") means that the model is better than yentinglin/Taiwan-LLM-8x7B-DPO-awq.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803