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PULI LlumiX 32K Instruct Q4 K M GGUF by fragata

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PULI LlumiX 32K Instruct Q4 K M GGUF is an open-source language model by fragata. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  Custom code   Endpoints compatible   Ggml   Gguf   Instruct   Llama   Q4   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF 

PULI LlumiX 32K Instruct Q4 K M GGUF Benchmarks

LLME Score: 0.12361
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PULI LlumiX 32K Instruct Q4 K M GGUF (fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF)
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PULI LlumiX 32K Instruct Q4 K M GGUF Parameters and Internals

LLM NamePULI LlumiX 32K Instruct Q4 K M GGUF
Repository 🤗https://huggingface.co/fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF 
Model Size7b
Required VRAM4.1 GB
Updated2026-04-17
Maintainerfragata
Model Typellama
Instruction-BasedYes
Model Files  4.1 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q4|q4_k
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than fragata/PULI-LlumiX-32K-Instruct-Q4_K_M-GGUF.

Rank the PULI LlumiX 32K Instruct Q4 K M GGUF Capabilities

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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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