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Tsukasa Llama 3 8B Qlora Gptq by ludis

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  4-bit   Autotrain compatible   Conversational   Dataset:lemonilia/limarp   Dataset:pygmalionai/pippa   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ludis/tsukasa-llama-3-8b-qlora-gptq 

Tsukasa Llama 3 8B Qlora Gptq Benchmarks

LLME Score: 0.14987
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tsukasa Llama 3 8B Qlora Gptq (ludis/tsukasa-llama-3-8b-qlora-gptq)
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Tsukasa Llama 3 8B Qlora Gptq Parameters and Internals

Training Details 
Data Sources:
PygmalionAI/PIPPA, lemonilia/LimaRP
Methodology:
gptq 4 bits, 0.1 damp, 128 group size, true sequential training
Context Length:
32000
Hardware Used:
8xH100 GPUs
Input Output 
Input Format:
use the llama 3 instruct format `<|eot_id|>` as stopping sequence/string/token
Performance Tips:
Start with every sampler off, temperature at 1, and min p set to 0.05. For generating, try different settings such as 'Main choice', 'Alternative 1', or 'Alternative 2'.
LLM NameTsukasa Llama 3 8B Qlora Gptq
Repository 🤗https://huggingface.co/ludis/tsukasa-llama-3-8b-qlora-gptq 
Model Size8b
Required VRAM5.8 GB
Updated2025-09-13
Maintainerludis
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ludis/tsukasa-llama-3-8b-qlora-gptq.

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Release v20241124
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