Llama-3-8B-Instruct-Coder-v2-exl2

Exllama v2 Quantizations of Llama-3-8B-Instruct-Coder-v2

Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.

<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>

Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.

Original model: https://huggingface.co/rombodawg/Llama-3-8B-Instruct-Coder-v2

Prompt format

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Available sizes

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Llama-3-8B-Instruct-Coder-v2-exl2 Llama-3-8B-Instruct-Coder-v2-exl2-6_5

With huggingface hub (credit to TheBloke for instructions):

pip3 install huggingface-hub

To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch:

Linux:

huggingface-cli download bartowski/Llama-3-8B-Instruct-Coder-v2-exl2 --revision 6_5 --local-dir Llama-3-8B-Instruct-Coder-v2-exl2-6_5 --local-dir-use-symlinks False

Windows (which apparently doesn't like _ in folders sometimes?):

huggingface-cli download bartowski/Llama-3-8B-Instruct-Coder-v2-exl2 --revision 6_5 --local-dir Llama-3-8B-Instruct-Coder-v2-exl2-6.5 --local-dir-use-symlinks False

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski