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internlm2-math-7b-llama-exl2
bartowski/internlm2-math-7b-llama-exl2
internlm2-math-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.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12"turboderp's ExLlamaV2 v0.0.12</a for quantization.
All-time downloads
16
Public
Repo size
29.2 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.json1.8 MB · 100%
At a glance
- Task
- Text Generation
- License
- other
- Access
- Public
- Created
- Jan 24, 2024
- Updated
- Jan 24, 2024
- SHA
- 53ba2642
Try a prompt
Model card
From the Hugging Face model README
Special thanks to <a href="https://huggingface.co/chargoddard">Charles Goddard</a> for the conversion script to create llama models from internlm
Exllama v2 Quantizations of internlm2-math-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/internlm/internlm2-math-7b
| Branch | Bits | lm_head bits | Size | Description |
|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 8.6 GB | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | 6.0 | 7.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| 4_25 | 4.25 | 6.0 | 6.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 6.1 GB | Lower quality, only use if you have to. |
All VRAM requirements estimated from 16k context. For 32k context add ~2 GB.
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/internlm2-math-7b-llama-exl2 internlm2-math-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-math-7b-llama-exl2:
mkdir internlm2-math-7b-llama-exl2
huggingface-cli download bartowski/internlm2-math-7b-llama-exl2 --local-dir internlm2-math-7b-llama-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir internlm2-math-7b-llama-exl2-6_5
huggingface-cli download bartowski/internlm2-math-7b-llama-exl2 --revision 6_5 --local-dir internlm2-math-7b-llama-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir internlm2-math-7b-llama-exl2-6.5
huggingface-cli download bartowski/internlm2-math-7b-llama-exl2 --revision 6_5 --local-dir internlm2-math-7b-llama-exl2-6.5 --local-dir-use-symlinks False
- Task
- Text Generation
- License
- other
- Languages
- en, zh
- Created
- Jan 24, 2024
- Updated
- Jan 24, 2024