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deepseek-coder-7b-instruct-v1.5-exl2
bartowski/deepseek-coder-7b-instruct-v1.5-exl2
deepseek-coder-7b-instruct-v1.5-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
33
Public
Repo size
26.7 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.json1.7 MB · 100%
At a glance
- Task
- Text Generation
- License
- other
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- Jan 26, 2024
- SHA
- a00264f2
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of deepseek-coder-7b-instruct-v1.5
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/deepseek-ai/deepseek-coder-7b-instruct-v1.5
No GQA - VRAM requirements will be higher
| Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 9.4 GB | 15.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 8.6 GB | 14.8 GB | Near unquantized performance at vastly reduced size, recommended. |
| 5_0 | 5.0 | 6.0 | 7.2 GB | 13.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
| 4_25 | 4.25 | 6.0 | 6.5 GB | 12.7 GB | GPTQ equivalent bits per weight. |
| 3_5 | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/deepseek-coder-7b-instruct-v1.5-exl2 deepseek-coder-7b-instruct-v1.5-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 deepseek-coder-7b-instruct-v1.5-exl2:
mkdir deepseek-coder-7b-instruct-v1.5-exl2
huggingface-cli download bartowski/deepseek-coder-7b-instruct-v1.5-exl2 --local-dir deepseek-coder-7b-instruct-v1.5-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir deepseek-coder-7b-instruct-v1.5-exl2-6_5
huggingface-cli download bartowski/deepseek-coder-7b-instruct-v1.5-exl2 --revision 6_5 --local-dir deepseek-coder-7b-instruct-v1.5-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir deepseek-coder-7b-instruct-v1.5-exl2-6.5
huggingface-cli download bartowski/deepseek-coder-7b-instruct-v1.5-exl2 --revision 6_5 --local-dir deepseek-coder-7b-instruct-v1.5-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 26, 2024
- Updated
- Jan 26, 2024