Guanaco 7B Leh by KBlueLeaf

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Guanaco 7B Leh is an open-source language model by KBlueLeaf. Features: 7b LLM, VRAM: 13.5GB, License: gpl-3.0, Fine-Tuned, LLM Explorer Score: 0.07.

  Alpaca Dataset:josephuscheung/guanaco...   En   Endpoints compatible   Finetuned   Guanaco   Ja   Llama   Lora   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Zh

Guanaco 7B Leh Benchmarks

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

Guanaco 7B Leh Parameters and Internals

Model Type 
instruction-following, multilingual
Use Cases 
Areas:
chatbots, instruction-following tasks
Applications:
multilingual communication, language-based AI tools
Limitations:
Not suitable for tasks requiring domain-specific expertise
Considerations:
Efficiency in Chinese and Japanese through specialized embedding and head training
Additional Notes 
Enhanced performance for Chinese and Japanese due to trained embeddings and head
Supported Languages 
en (English), zh (Chinese), ja (Japanese)
Training Details 
Data Sources:
JosephusCheung/GuanacoDataset, alpaca-lora
Methodology:
Modified alpaca-lora with lora + embed_tokens + lm_head
Input Output 
Input Format:
Instruction-based prompt format
Accepted Modalities:
text
Output Format:
Textual response
Performance Tips:
Remove the first line of the original prompt to reduce token consumption
LLM NameGuanaco 7B Leh
Repository 🤗https://huggingface.co/KBlueLeaf/guanaco-7B-leh 
Model Size7b
Required VRAM13.5 GB
Updated2026-04-24
MaintainerKBlueLeaf
Model Typellama
Model Files  2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.7 GB: 7-of-7   2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.7 GB: 7-of-7
Supported Languagesen zh ja
Model ArchitectureLlamaForCausalLM
Licensegpl-3.0
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than KBlueLeaf/guanaco-7B-leh.

Rank the Guanaco 7B Leh 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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Release v20260328a