Llama 3 8B Instruct Gradient 1048K IMat GGUF by qwp4w3hyb

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Llama 3 8B Instruct Gradient 1048K IMat GGUF is an open-source language model by qwp4w3hyb. Features: 8b LLM, VRAM: 2GB, Context: 1024K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:2305.14233   Arxiv:2309.00071   Arxiv:2402.08268 Base model:gradientai/llama-3-... Base model:quantized:gradienta...   Conversational   En   Endpoints compatible   Gguf   Imatrix   Importance matrix   Instruct   Llama   Llama-3   Meta   Q4   Quantized   Region:us

Llama 3 8B Instruct Gradient 1048K IMat GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 8B Instruct Gradient 1048K IMat GGUF Parameters and Internals

LLM NameLlama 3 8B Instruct Gradient 1048K IMat GGUF
Repository 🤗https://huggingface.co/qwp4w3hyb/Llama-3-8B-Instruct-Gradient-1048k-iMat-GGUF 
Base Model(s)  ...a 3 8B Instruct Gradient 1048K   gradientai/Llama-3-8B-Instruct-Gradient-1048k
Model Size8b
Required VRAM2 GB
Updated2026-04-15
Maintainerqwp4w3hyb
Model Typellama
Instruction-BasedYes
Model Files  16.1 GB   2.0 GB   3.0 GB   2.8 GB   2.6 GB   2.4 GB   3.8 GB   3.7 GB   3.5 GB   3.3 GB   4.7 GB   4.5 GB   4.7 GB   4.9 GB   4.7 GB   5.7 GB   5.6 GB   6.6 GB   8.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length1048576
Model Max Length1048576
Transformers Version4.39.1
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than qwp4w3hyb/Llama-3-8B-Instruct-Gradient-1048k-iMat-GGUF.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20260328a