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Replete-LLM-gemma-9b-test-merged-250k-exl2
bartowski/Replete-LLM-gemma-9b-test-merged-250k-exl2
Replete-LLM-gemma-9b-test-merged-250k-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 apache-2.0.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.8"turboderp's ExLlamaV2 v0.1.8</a for quantization.
All-time downloads
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Repo size
41.6 GB
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0
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Repo makeup
Click a slice to open those files.
.json2.3 MB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024
- SHA
- 9f32b072
Try a prompt
Model card
From the Hugging Face model README
Exllama v2 Quantizations of Replete-LLM-gemma-9b-test-merged-250k
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.1.8">turboderp's ExLlamaV2 v0.1.8</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/Replete-AI/Replete-LLM-gemma-9b-test-merged-250k
Prompt format
<start_of_turn>system
{system_prompt}<end_of_turn>
<start_of_turn>user
{prompt}<end_of_turn>
<start_of_turn>assistant
<end_of_turn>
Available sizes
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
|---|---|---|---|---|---|---|
| 8_0 | 8.0 | 8.0 | 11.9 GB | 15.9 GB | 21.3 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 6_5 | 6.5 | 8.0 | 10.4 GB | 14.4 GB | 19.8 GB | Very similar to 8.0, good tradeoff of size vs performance, recommended. |
| 5_0 | 5.0 | 6.0 | 8.6 GB | 12.6 GB | 18.0 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| 4_25 | 4.25 | 6.0 | 7.9 GB | 11.9 GB | 17.3 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 3_5 | 3.5 | 6.0 | 7.1 GB | 11.1 GB | 16.9 GB | Lower quality, only use if you have to. |
Download instructions
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Replete-LLM-gemma-9b-test-merged-250k-exl2 Replete-LLM-gemma-9b-test-merged-250k-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/Replete-LLM-gemma-9b-test-merged-250k-exl2 --revision 6_5 --local-dir Replete-LLM-gemma-9b-test-merged-250k-exl2-6_5
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download bartowski/Replete-LLM-gemma-9b-test-merged-250k-exl2 --revision 6_5 --local-dir Replete-LLM-gemma-9b-test-merged-250k-exl2-6.5
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
- Task
- Text Generation
- License
- apache-2.0
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024