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internlm2-chat-7b-llama-exl2
bartowski/internlm2-chat-7b-llama-exl2
internlm2-chat-7b-llama-exl2 is a text generation model from bartowski. Use it when you need the model to write or continue text. The card lists the license as other.
Update Jan 27: This has been redone with the proper token mappings and rope scaling, performance seems improved, please comment if not
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29.2 GB
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Click a slice to open those files.
.json1.8 MB · 100%
At a glance
- Task
- Text Generation
- License
- other
- Access
- Public
- Created
- Jan 27, 2024
- Updated
- Jan 27, 2024
- SHA
- c11d68af
Try a prompt
Model card
From the Hugging Face model README
Update Jan 27: This has been redone with the proper token mappings and rope scaling, performance seems improved, please comment if not
Exllama v2 Quantizations of internlm2-chat-7b-llama
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</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.
Original model: https://huggingface.co/bartowski/internlm2-chat-7b-llama/
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| 4_25 | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/internlm2-chat-7b-llama-exl2 internlm2-chat-7b-llama-exl2-6_5
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main (only useful if you only care about measurement.json) branch to a folder called internlm2-chat-7b-llama-exl2:
mkdir internlm2-chat-7b-llama-exl2
huggingface-cli download bartowski/internlm2-chat-7b-llama-exl2 --local-dir internlm2-chat-7b-llama-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir internlm2-chat-7b-llama-exl2-6_5
huggingface-cli download bartowski/internlm2-chat-7b-llama-exl2 --revision 6_5 --local-dir internlm2-chat-7b-llama-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir internlm2-chat-7b-llama-exl2-6.5
huggingface-cli download bartowski/internlm2-chat-7b-llama-exl2 --revision 6_5 --local-dir internlm2-chat-7b-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
- Task
- Text Generation
- License
- other
- Created
- Jan 27, 2024
- Updated
- Jan 27, 2024