Mistral 7B Guanaco by kingabzpro

 ยป  All LLMs  ยป  kingabzpro  ยป  Mistral 7B Guanaco   URL Share it on

Mistral 7B Guanaco is an open-source language model by kingabzpro. Features: 7b LLM, VRAM: 14.4GB, License: apache-2.0, LLM Explorer Score: 0.1.

Dataset:mlabonne/guanaco-llama...   En   Endpoints compatible   Lora   Mistral   Pretrained   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7b Guanaco Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Guanaco (kingabzpro/mistral_7b_guanaco)
๐ŸŒŸ Advertise your project ๐Ÿš€

Mistral 7B Guanaco Parameters and Internals

Additional Notes 
Framework versions used include PEFT 0.5.0.
Supported Languages 
en ()
Training Details 
Data Sources:
mlabonne/guanaco-llama2-1k
Methodology:
Quantization using bitsandbytes
LLM NameMistral 7b Guanaco
Repository ๐Ÿค—https://huggingface.co/kingabzpro/mistral_7b_guanaco 
Model Size7b
Required VRAM14.4 GB
Updated2026-04-02
Maintainerkingabzpro
Model Files  0.4 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|v_proj|o_proj|gate_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

Best Alternatives to Mistral 7B Guanaco

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B V0.332K / 14.5 GB12535
Mistral 7B Instruct V0.332K / 14.5 GB395
...unoichi Lemon Royale V3 32K 7B32K / 14.5 GB25
Mistral 7B Instruct V0.332K / 14.5 GB5133
Mistralai Mistral 7B V0.332K / 14.5 GB373
...ralai Mistral 7B Instruct V0.332K / 14.5 GB53
Mistral 7B Instruct V0.332K / 14.5 GB50
Mistral 7B V0.232K / 14.5 GB541
Full V4 Astromistral Final32K / 4.5 GB11
LlamaGuard 7B4K / 13.5 GB4073239
Note: green Score (e.g. "73.2") means that the model is better than kingabzpro/mistral_7b_guanaco.

Rank the Mistral 7B Guanaco Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 52583 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a