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Guanaco 7B by timdettmers

 »  All LLMs  »  timdettmers  »  Guanaco 7B   URL Share it on

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  Arxiv:2302.13971   Arxiv:2304.07327   Arxiv:2305.14314   Adapter   Finetuned   Lora   Region:us
Model Card on HF 🤗: https://huggingface.co/timdettmers/guanaco-7b 

Guanaco 7B Benchmarks

LLME Score: 0.08963
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Guanaco 7B (timdettmers/guanaco-7b)
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Guanaco 7B Parameters and Internals

Model Type 
Open-source chatbot, Finetuned language model
Use Cases 
Areas:
Research, AI chatbot applications
Applications:
AI chatbot, High-quality language model
Primary Use Cases:
Multilingual response generation, Conversational AI
Limitations:
Not suitable for factual information generation, Performance degradation in low-resource languages
Considerations:
Only intended for research purposes.
Additional Notes 
Guanaco models are designed to be a lightweight and efficient way to leverage LLaMA models with minimal additional hardware requirements.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
OASST1 dataset, High-resource languages
Methodology:
4-bit QLoRA finetuning using LoRA adapters
Context Length:
512
Model Architecture:
Guanaco models are LoRA adapters on top of LLaMA models using NormalFloat4 datatype for the base model.
Input Output 
Input Format:
Python API calls using Transformers library
Accepted Modalities:
text
Output Format:
Tokenized text responses
Performance Tips:
Inference is slow in 4-bit and faster in 16-bit mode.
LLM NameGuanaco 7B
Repository 🤗https://huggingface.co/timdettmers/guanaco-7b 
Model Size7b
Required VRAM0.6 GB
Updated2025-08-18
Maintainertimdettmers
Model Files  0.6 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|down_proj|up_proj|q_proj|k_proj|v_proj|o_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

Quantized Models of the Guanaco 7B

Model
Likes
Downloads
VRAM
Guanaco 7B GGUF02002 GB
Guanaco 7B GPTQ28774 GB

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

Rank the Guanaco 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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