measurement.json

README.md

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+---
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+tags:
+- mistral
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- distillation
+- dpo
+- rlhf
+- laser
+license: apache-2.0
+language:
+- en
+datasets:
+- mlabonne/chatml_dpo_pairs
+quantized_by: bartowski
+pipeline_tag: text-generation
+---
+
+## Exllama v2 Quantizations of NeuralHermes-2.5-Mistral-7B-laser
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
+
+## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+
+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/mlabonne/NeuralHermes-2.5-Mistral-7B-laser
+
+
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 4_0 https://huggingface.co/bartowski/NeuralHermes-2.5-Mistral-7B-laser-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 `NeuralHermes-2.5-Mistral-7B-laser-exl2`:
+
+```shell
+mkdir NeuralHermes-2.5-Mistral-7B-laser-exl2
+huggingface-cli download bartowski/NeuralHermes-2.5-Mistral-7B-laser-exl2 --local-dir NeuralHermes-2.5-Mistral-7B-laser-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir NeuralHermes-2.5-Mistral-7B-laser-exl2
+huggingface-cli download bartowski/NeuralHermes-2.5-Mistral-7B-laser-exl2 --revision 4_0 --local-dir NeuralHermes-2.5-Mistral-7B-laser-exl2 --local-dir-use-symlinks False
+```