Main branch

README.md

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+---
+language:
+- en
+pipeline_tag: text-generation
+inference: false
+arxiv: 2307.09288
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-2
+- gguf
+- function-calling
+- function calling
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of Llama-2-7b-chat-hf-function-calling-v3
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Conversion was done using the default calibration dataset.
+
+Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
+
+Original model: https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v3
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2
+```
+
+With huggingface hub (credit to TheBloke for instructions):
+
+```shell
+pip3 install huggingface-hub
+```
+
+To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Llama-2-7b-chat-hf-function-calling-v3-exl2`:
+
+```shell
+mkdir Llama-2-7b-chat-hf-function-calling-v3-exl2
+huggingface-cli download bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2 --local-dir Llama-2-7b-chat-hf-function-calling-v3-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir Llama-2-7b-chat-hf-function-calling-v3-exl2
+huggingface-cli download bartowski/Llama-2-7b-chat-hf-function-calling-v3-exl2 --revision 4_0 --local-dir Llama-2-7b-chat-hf-function-calling-v3-exl2 --local-dir-use-symlinks False
+```