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Llama-3-8B-Instruct-262k-GGUF-smashed

AI model by PrunaAI on Hugging Face (pruna-ai). 829 downloads in the last 30 days as of 2026-10-15.

Llama-3-8B-Instruct-262k-GGUF-smashed logo
ProductivityFreeAI modelLink verified 2026-11-01

What is Llama-3-8B-Instruct-262k-GGUF-smashed?

Llama-3-8B-Instruct-262k-GGUF-smashed is an open AI model published on Hugging Face by PrunaAI. Its name indicates it belongs to the Llama model family with about 8B parameters, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). Hugging Face reported 829 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.

Llama-3-8B-Instruct-262k-GGUF-smashed key facts
PublisherPrunaAI
Model family (from name)Llama
Parameters (from name)8B
FormatGGUF
Librarypruna-ai
Downloads (30 days)829 (as of 2026-10-15)
PriceFree to download (open weights)

Llama-3-8B-Instruct-262k-GGUF-smashed pricing

Listed as Free. Detailed prices haven't been checked from the official site yet; see Llama-3-8B-Instruct-262k-GGUF-smashed.

How to run Llama-3-8B-Instruct-262k-GGUF-smashed

  1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory).
  2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/PrunaAI/Llama-3-8B-Instruct-262k-GGUF-smashed`).
  3. Read the model card for the prompt template, context length and licence.

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Llama-3-8B-Instruct-262k-GGUF-smashed FAQ

What is Llama-3-8B-Instruct-262k-GGUF-smashed?

Llama-3-8B-Instruct-262k-GGUF-smashed is an open AI model published on Hugging Face by PrunaAI. Its name indicates it belongs to the Llama model family with about 8B parameters, packaged as quantised GGUF weights for llama.

Is Llama-3-8B-Instruct-262k-GGUF-smashed free?

Llama-3-8B-Instruct-262k-GGUF-smashed is listed as free.

How do I use Llama-3-8B-Instruct-262k-GGUF-smashed?

1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory). 2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/PrunaAI/Llama-3-8B-Instruct-262k-GGUF-smashed`). 3. Read the model card for the prompt template, context length and licence.

What models are similar to Llama-3-8B-Instruct-262k-GGUF-smashed?

Related models include Llama-3.2-1B-Instruct, Llama-3.1-8B-Instruct, Llama-3.2-3B-Instruct, TinyLlama-1.1B-Chat-v1.0, llama-3.3-70b-instruct-awq.

This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.