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Kiqu 70B AWQ by maywell

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

Kiqu 70B AWQ Benchmarks

LLME Score: 0.19691
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Kiqu 70B AWQ Parameters and Internals

LLM NameKiqu 70B AWQ
Repository 🤗https://huggingface.co/maywell/kiqu-70b-awq 
Model Size70b
Required VRAM36.7 GB
Updated2024-09-07
Maintainermaywell
Model Typellama
Model Files  5.0 GB: 1-of-8   5.0 GB: 2-of-8   4.9 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   4.9 GB: 6-of-8   4.9 GB: 7-of-8   2.2 GB: 8-of-8
Supported Languagesko en
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-sa-4.0
Context Length32764
Model Max Length32764
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Kiqu 70B AWQ (maywell/kiqu-70b-awq)

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Note: green Score (e.g. "73.2") means that the model is better than maywell/kiqu-70b-awq.

Rank the Kiqu 70B AWQ Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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