The data used to train the model are on Huggingface under siacus/cap_pe_verified_final-and-last

F16 version from merged weights created with llama.cpp on a CUDA GPU and the 4bit quantized version created on a Mac M2 Ultra Metal architecture. If you want to use the 4bit quantized version on CUDA, please quantize it directly from the F16 version.

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GGUF

Model size

6.74B params

Architecture

llama

4-bit

16-bit

Inference API

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Model tree for siacus/llama-2-7b-cap_verified-final-and-last

Base model

meta-llama/Llama-2-7b-chat-hf

Quantized

(53)

this model

siacus
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llama-2-7b-cap_verified-final-and-last

Model tree for siacus/llama-2-7b-cap_verified-final-and-last

Dataset used to train siacus/llama-2-7b-cap_verified-final-and-last