measurement.json

README.md

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+---
+license: other
+license_name: internlm2-20b
+license_link: https://huggingface.co/internlm/internlm2-20b#open-source-license
+base_model: internlm/internlm2-20b
+datasets:
+- ai2_arc
+- allenai/ultrafeedback_binarized_cleaned
+- argilla/distilabel-intel-orca-dpo-pairs
+- jondurbin/airoboros-3.2
+- codeparrot/apps
+- facebook/belebele
+- bluemoon-fandom-1-1-rp-cleaned
+- boolq
+- camel-ai/biology
+- camel-ai/chemistry
+- camel-ai/math
+- camel-ai/physics
+- jondurbin/contextual-dpo-v0.1
+- jondurbin/gutenberg-dpo-v0.1
+- jondurbin/py-dpo-v0.1
+- jondurbin/truthy-dpo-v0.1
+- LDJnr/Capybara
+- jondurbin/cinematika-v0.1
+- WizardLM/WizardLM_evol_instruct_70k
+- glaiveai/glaive-function-calling-v2
+- jondurbin/gutenberg-dpo-v0.1
+- grimulkan/LimaRP-augmented
+- lmsys/lmsys-chat-1m
+- ParisNeo/lollms_aware_dataset
+- TIGER-Lab/MathInstruct
+- Muennighoff/natural-instructions
+- openbookqa
+- kingbri/PIPPA-shareGPT
+- piqa
+- Vezora/Tested-22k-Python-Alpaca
+- ropes
+- cakiki/rosetta-code
+- Open-Orca/SlimOrca
+- b-mc2/sql-create-context
+- squad_v2
+- mattpscott/airoboros-summarization
+- migtissera/Synthia-v1.3
+- unalignment/toxic-dpo-v0.2
+- WhiteRabbitNeo/WRN-Chapter-1
+- WhiteRabbitNeo/WRN-Chapter-2
+- winogrande
+quantized_by: bartowski
+pipeline_tag: text-generation
+---
+
+## Exllama v2 Quantizations of bagel-20b-v04-llama
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</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/jondurbin/bagel-20b-v04-llama
+
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
+| ------ | ---- | ------------ | ---- | ---- | ---- | ----------- |
+| [6_5](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/6_5)   | 6.5  | 8.0 | 19.6 GB | 21.0 GB | 23.0 GB | Near unquantized performance at vastly reduced size, **recommended**.       |
+| [4_25](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/4_25) | 4.25 | 6.0 | 13.8 GB | 15.2 GB | 17.2 GB | GPTQ equivalent bits per weight, slightly higher quality.                   |
+| [3_5](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/3_5)   | 3.5  | 6.0 | 12.4 GB | 13.8 GB | 15.8 GB | Lower quality, only use if you have to.                                     |
+| [3_0](https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2/tree/3_0)   | 3.0  | 6.0 | 11.1 GB | 12.5 GB | 15.5 GB | Very low quality. Usable on 12GB. |
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/bagel-20b-v04-llama-exl2 bagel-20b-v04-llama-exl2-6_5
+```
+
+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 `bagel-20b-v04-llama-exl2`:
+
+```shell
+mkdir bagel-20b-v04-llama-exl2
+huggingface-cli download bartowski/bagel-20b-v04-llama-exl2 --local-dir bagel-20b-v04-llama-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+Linux:
+
+```shell
+mkdir bagel-20b-v04-llama-exl2-6_5
+huggingface-cli download bartowski/bagel-20b-v04-llama-exl2 --revision 6_5 --local-dir bagel-20b-v04-llama-exl2-6_5 --local-dir-use-symlinks False
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+mkdir bagel-20b-v04-llama-exl2-6.5
+huggingface-cli download bartowski/bagel-20b-v04-llama-exl2 --revision 6_5 --local-dir bagel-20b-v04-llama-exl2-6.5 --local-dir-use-symlinks False
+```
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski