Saiga Llama3 70B Sft M1 D5 Abliterated AWQ 4bit by IlyaGusev

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Saiga Llama3 70b Sft M1 D5 Abliterated AWQ 4bit Benchmarks

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

Saiga Llama3 70B Sft M1 D5 Abliterated AWQ 4bit Parameters and Internals

LLM NameSaiga Llama3 70b Sft M1 D5 Abliterated AWQ 4bit
Repository ๐Ÿค—https://huggingface.co/IlyaGusev/saiga_llama3_70b_sft_m1_d5_abliterated_awq_4bit 
Base Model(s)  ...ama3 70b Sft M1 D5 Abliterated   IlyaGusev/saiga_llama3_70b_sft_m1_d5_abliterated
Model Size70b
Required VRAM39.9 GB
Updated2024-09-16
MaintainerIlyaGusev
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 Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
Saiga Llama3 70B Sft M1 D5 Abliterated AWQ 4bit (IlyaGusev/saiga_llama3_70b_sft_m1_d5_abliterated_awq_4bit)

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Note: green Score (e.g. "73.2") means that the model is better than IlyaGusev/saiga_llama3_70b_sft_m1_d5_abliterated_awq_4bit.

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