Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM By 1TuanPham: Benchmarks, Features and Detailed Analysis. Insights on Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM.

Adapter Finetuned Gptq Instruct Lora Peft Quantized Region:us

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

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

What is the LLM Explorer Rank (Score)

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 Name	Instruct 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 Size	7b
Required VRAM	0.3 GB
Updated	2024-11-21
Maintainer	1TuanPham
Instruction-Based	Yes
Model Files	0.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Adapter
Is Biased	lora_only
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|v_proj\|q_proj\|c_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	128

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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Note: green Score (e.g. "73.2") means that the model is better than 1TuanPham/Instruct_en-vi_7500_1epoch_TheBloke_Mistralic-7B-1-GPTQ_LORA_CAUSAL_LM.

Rank the Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM Capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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

Release v20241110

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

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

Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM Parameters and Internals

Best Alternatives to Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM

Rank the Instruct En Vi 7500 1epoch TheBloke Mistralic 7B 1 GPTQ LORA CAUSAL LM Capabilities

What open-source LLMs or SLMs are you in search of? 38149 in total.