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Saily 220B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:deepnight-research/... Base model:quantized:deepnight...   Dataset:eleutherai/pile   Dataset:meta-math/metamathqa Dataset:tiiuae/falcon-refinedw...   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Saily 220B AWQ Benchmarks

LLME Score: 0.17964
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Saily 220B AWQ Parameters and Internals

LLM NameSaily 220B AWQ
Repository 🤗https://huggingface.co/TheBloke/Saily_220B-AWQ 
Model NameSaily 220B
Model CreatorDEEPNIGHT
Base Model(s)  Saily 220B   deepnight-research/Saily_220B
Model Size220b
Required VRAM109.1 GB
Updated2024-09-07
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-11   9.9 GB: 2-of-11   9.9 GB: 3-of-11   10.0 GB: 4-of-11   9.9 GB: 5-of-11   9.9 GB: 6-of-11   10.0 GB: 7-of-11   9.9 GB: 8-of-11   9.9 GB: 9-of-11   10.0 GB: 10-of-11   9.8 GB: 11-of-11
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Saily 220B AWQ (TheBloke/Saily_220B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Saily_220B-AWQ.

Rank the Saily 220B AWQ Capabilities

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Release v2024072803
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