UlizaLlama Q4 K M Gguf by de-coder

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  Art   Autotrain compatible   En   Endpoints compatible   Gguf   Llama   Q4   Quantized   Region:us   Sw

UlizaLlama Q4 K M Gguf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UlizaLlama Q4 K M Gguf (de-coder/UlizaLlama_Q4_K_M-gguf)

UlizaLlama Q4 K M Gguf Parameters and Internals

Model Type 
bilingual, 4-bit quantized
Use Cases 
Applications:
Domain-specific tasks, such as healthcare, agriculture, education
Primary Use Cases:
Chatbots, Language learning applications, Information services in Swahili-speaking regions, Edge devices and mobile applications
Additional Notes 
This quantized model is ideal for deployment in resource-constrained environments.
Supported Languages 
Swahili (Bilingual Proficiency), English (Bilingual Proficiency)
LLM NameUlizaLlama Q4 K M Gguf
Repository ๐Ÿค—https://huggingface.co/de-coder/UlizaLlama_Q4_K_M-gguf 
Required VRAM4.2 GB
Updated2025-02-22
Maintainerde-coder
Model Typellama
Model Files  4.2 GB
Supported Languagessw en
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Vocabulary Size20000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than de-coder/UlizaLlama_Q4_K_M-gguf.

Rank the UlizaLlama Q4 K M Gguf Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227