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Poppy_Porpoise-1.4-L3-8B-exl2
bartowski/Poppy_Porpoise-1.4-L3-8B-exl2
Poppy_Porpoise-1.4-L3-8B-exl2 is a text generation model from bartowski. Use it when you need the model to write or continue text. It is set up for transformers.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.3"turboderp's ExLlamaV2 v0.1.3</a for quantization.
All-time downloads
14
Public
Repo size
31.3 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.json1.8 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Access
- Public
- Created
- Jun 2, 2024
- Updated
- Jun 3, 2024
- SHA
- ea766cfc
Try a prompt
Base models
Model card
From the Hugging Face model README
<b>The author of this model has suggested against using it: https://huggingface.co/bartowski/Poppy_Porpoise-1.4-L3-8B-exl2/discussions/1 </b>
Exllama v2 Quantizations of Poppy_Porpoise-1.4-L3-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.3">turboderp's ExLlamaV2 v0.1.3</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/Nitral-AI/Poppy_Porpoise-1.4-L3-8B
Prompt format
<|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Available sizes
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (8K) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 10.1 GB | 10.5 GB | 11.5 GB | 13.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 8.9 GB | 9.3 GB | 10.3 GB | 12.4 GB | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | 6.0 | 7.7 GB | 8.1 GB | 9.1 GB | 11.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| 4_25 | 4.25 | 6.0 | 7.0 GB | 7.4 GB | 8.4 GB | 10.5 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 6.4 GB | 6.8 GB | 7.8 GB | 9.9 GB | Lower quality, only use if you have to. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Poppy_Porpoise-1.4-L3-8B-exl2 Poppy_Porpoise-1.4-L3-8B-exl2-6_5
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch:
Linux:
huggingface-cli download bartowski/Poppy_Porpoise-1.4-L3-8B-exl2 --revision 6_5 --local-dir Poppy_Porpoise-1.4-L3-8B-exl2-6_5
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download bartowski/Poppy_Porpoise-1.4-L3-8B-exl2 --revision 6_5 --local-dir Poppy_Porpoise-1.4-L3-8B-exl2-6.5
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
- Task
- Text Generation
- Library
- transformers
- Created
- Jun 2, 2024
- Updated
- Jun 3, 2024