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Saiga Llama3 70B Sft M1 D5 Abliterated by IlyaGusev

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Saiga Llama3 70b Sft M1 D5 Abliterated Benchmarks

LLME Score: 0.22476
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 Parameters and Internals

LLM NameSaiga Llama3 70b Sft M1 D5 Abliterated
Repository 🤗https://huggingface.co/IlyaGusev/saiga_llama3_70b_sft_m1_d5_abliterated 
Model Size70b
Required VRAM141.9 GB
Updated2024-09-18
MaintainerIlyaGusev
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Saiga Llama3 70B Sft M1 D5 Abliterated (IlyaGusev/saiga_llama3_70b_sft_m1_d5_abliterated)

Quantized Models of the Saiga Llama3 70B Sft M1 D5 Abliterated

Model
Likes
Downloads
VRAM
...Sft M1 D5 Abliterated AWQ 4bit1131439 GB

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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.

Rank the Saiga Llama3 70B Sft M1 D5 Abliterated 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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