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Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM by 1TuanPham

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  Adapter   Finetuned   Gptq   Instruct   Lora   Peft   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/1TuanPham/Instruct_en-vi_7500_1epoch_TheBloke_Mistralic-7B-1-GPTQ_LORA_CAUSAL_LM 

Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM Benchmarks

LLME Score: 0.11015
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM (1TuanPham/Instruct_en-vi_7500_1epoch_TheBloke_Mistralic-7B-1-GPTQ_LORA_CAUSAL_LM)
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Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM Parameters and Internals

Training Details 
Methodology:
The following `bitsandbytes` quantization config was used during training: - quant_method: gptq - bits: 4 - tokenizer: None - dataset: None - group_size: 128 - damp_percent: 0.1 - desc_act: True - sym: True - true_sequential: True - use_cuda_fp16: True - model_seqlen: 4096 - block_name_to_quantize: model.layers - module_name_preceding_first_block: ['model.embed_tokens'] - batch_size: 1 - pad_token_id: None - disable_exllama: False - max_input_length: None
LLM NameInstruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM
Repository 🤗https://huggingface.co/1TuanPham/Instruct_en-vi_7500_1epoch_TheBloke_Mistralic-7B-1-GPTQ_LORA_CAUSAL_LM 
Model Size7b
Required VRAM0.3 GB
Updated2025-11-05
Maintainer1TuanPham
Instruction-BasedYes
Model Files  0.3 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAdapter
Is Biasedlora_only
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|v_proj|q_proj|c_proj
LoRA Alpha32
LoRA Dropout0.05
R Param128

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Release v20241124
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