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Mixtral AI SwahiliTron 4BIT by LeroyDyer

 »  All LLMs  »  LeroyDyer  »  Mixtral AI SwahiliTron 4BIT   URL Share it on

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  4-bit   4bit   Autotrain compatible   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: 0.20654
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)

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 Size3.9b
Required VRAM4.1 GB
Updated2024-12-22
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

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Zephyr Sft Bnb 4bit32K / 4.1 GB22674
Spydaz Web AI 026 4bit32K / 4.2 GB230
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Mcqa 4bit32K / 4.1 GB150
Mistral 4bit Bnb32K / 4.1 GB140
Yugo55 GPT V4 4bit32K / 4.1 GB201
Rezephyr Merged 4bit32K / 4.1 GB840
Zephyr DPO 4bit32K / 4.1 GB790
...azWeb AI LCARS Model 001 4 BIT512K / 4.1 GB291
...Text AudioVision Project 4 BIT512K / 4.1 GB141
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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