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Mixtral AI SwahiliTron 4BIT by LeroyDyer

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Mixtral AI SwahiliTron 4BIT is an open-source language model by LeroyDyer. Features: 7.5b LLM, VRAM: 4.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  4-bit   4bit   Bitsandbytes   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_SwahiliTron_4BIT 

Mixtral AI SwahiliTron 4BIT Benchmarks

LLME Score: 0.13965
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral AI SwahiliTron 4BIT (LeroyDyer/Mixtral_AI_SwahiliTron_4BIT)
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Mixtral AI SwahiliTron 4BIT Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Supported Languages 
en (Proficient)
Training Details 
Methodology:
The model was trained 2x faster with Unsloth and Huggingface's TRL library.
Model Architecture:
Mistral
LLM NameMixtral AI SwahiliTron 4BIT
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_AI_SwahiliTron_4BIT 
Base Model(s)  LeroyDyer/Spydaz_Web_AI   LeroyDyer/Spydaz_Web_AI
Model Size7.5b
Required VRAM4.1 GB
Updated2026-01-02
MaintainerLeroyDyer
Model Typemistral
Model Files  4.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Mixtral AI SwahiliTron 4BIT

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Context / RAM
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Likes
Zephyr DPO 4bit32K / 4.1 GB850
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ClimateChat32K / 15 GB491
...iceday Finetune Articles V4 V332K / 4.7 GB70
Technical Analysis Unsloth V332K / 4.1 GB963
0dAI 7.5B V2 4bpw32K / 3.8 GB53
0dAI 7.5B V2 8bpw32K / 7.3 GB90
Mistral MoE Lora32K / 4.1 GB51
Legislinho32K / 4.1 GB282
Mymodel V232K / 30.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Mixtral_AI_SwahiliTron_4BIT.

Rank the Mixtral AI SwahiliTron 4BIT 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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