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Custom GGUF quants of Meta’s Llama-3.2-1B-Instruct, where the Output Tensors are quantized to Q8_0 or kept at F32, and the Embeddings are kept at F32. Enjoy! 🧠🔥🚀

Notes: Great SMOL LLM for on-device inference for mobile devices. 😋

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GGUF

Model size

1.24B params

Architecture

llama

4-bit

6-bit

8-bit

Inference API

Unable to determine this model's library. Check the docs .

Collection including Joseph717171/Llama-3.2-1B-Instruct-OQ8_0.EF32.IQ4_K-Q8_0-GGUF

GGUF Llama-3.2-Instruct-OQ8_0-F32.EF32.IQ4_K-Q8_0 IQuants

Collection

Custom GGUF quants of Meta’s Llama-3.2-Instruct's finetunes, where the Output Tensors are quantized to Q8_0 or F32 and the Embeddings are kept @F32 • 3 items • Updated 8 days ago • 2