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Everyone-Coder-33b-v2-Base-exl2
bartowski/Everyone-Coder-33b-v2-Base-exl2
Everyone-Coder-33b-v2-Base-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/v0.0.13"turboderp's ExLlamaV2 v0.0.13</a for quantization.
All-time downloads
49
Public
Repo size
84 GB
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1
Public
Repo makeup
Click a slice to open those files.
.json3.5 MB · 100%
At a glance
- Task
- Text Generation
- License
- other
- Access
- Public
- Created
- Feb 7, 2024
- Updated
- Feb 8, 2024
- SHA
- 33ccdcba
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of Everyone-Coder-33b-v2-Base
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</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/rombodawg/Everyone-Coder-33b-v2-Base
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 6_5 | 6.5 | 8.0 | 28.9 GB | 31.6 GB | 35.6 GB | Near unquantized performance at vastly reduced size, recommended. |
| 4_25 | 4.25 | 6.0 | 19.5 GB | 22.2 GB | 26.2 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 16.5 GB | 19.2 GB | 23.2 GB | Lower quality, only use if you have to. |
| 3_0 | 3.0 | 6.0 | 14.3 GB | 17.0 GB | 21.0 GB | Very low quality, usable with 16gb of VRAM. |
| 2_4 | 2.4 | 6.0 | 12.0 GB | 14.7 GB | 18.7 GB | Extremely low quality, only recommended if trying to fit into 12GB with under 4k context. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Everyone-Coder-33b-v2-Base-exl2
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 Everyone-Coder-33b-v2-Base-exl2:
mkdir Everyone-Coder-33b-v2-Base-exl2
huggingface-cli download bartowski/Everyone-Coder-33b-v2-Base-exl2 --local-dir Everyone-Coder-33b-v2-Base-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision parameter:
Linux:
mkdir Everyone-Coder-33b-v2-Base-exl2-6_5
huggingface-cli download bartowski/Everyone-Coder-33b-v2-Base-exl2 --revision 6_5 --local-dir Everyone-Coder-33b-v2-Base-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir Everyone-Coder-33b-v2-Base-exl2-6.5
huggingface-cli download bartowski/Everyone-Coder-33b-v2-Base-exl2 --revision 6_5 --local-dir Everyone-Coder-33b-v2-Base-exl2-6.5 --local-dir-use-symlinks False
- Task
- Text Generation
- License
- other
- Created
- Feb 7, 2024
- Updated
- Feb 8, 2024