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SAM GGUF by TheBloke

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SAM GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 3.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:superagi/...   Base model:superagi/sam   En   Gguf   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/SAM-GGUF 

SAM GGUF Benchmarks

LLME Score: 0.11326
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SAM GGUF (TheBloke/SAM-GGUF)
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SAM GGUF Parameters and Internals

Model Type 
reasoning
Additional Notes 
SAM is not suitable for production usage as it doesn't have guardrails for toxicity, societal bias, and language limitations.
Training Details 
Methodology:
Finetuning
Training Time:
4 hours
Hardware Used:
NVIDIA 6 x H100 SxM (80GB)
Model Architecture:
Mistral 7B
Input Output 
Input Format:
[INST] {prompt} [/INST]
LLM NameSAM GGUF
Repository 🤗https://huggingface.co/TheBloke/SAM-GGUF 
Model NameSAM
Model CreatorSuperAGI
Base Model(s)  SAM   SuperAGI/SAM
Required VRAM3.1 GB
Updated2026-01-19
MaintainerTheBloke
Model Typemistral
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SAM-GGUF.

Rank the SAM GGUF 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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