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Llama-3-8B-Ultra-Instruct-exl2
bartowski/Llama-3-8B-Ultra-Instruct-exl2
Llama-3-8B-Ultra-Instruct-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. The card lists the license as llama3.
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20"turboderp's ExLlamaV2 v0.0.20</a for quantization.
All-time downloads
24
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
- License
- llama3
- Access
- Public
- Created
- Apr 30, 2024
- Updated
- Apr 30, 2024
- SHA
- 5260bb4b
Try a prompt
Base models
Model card
From the Hugging Face model README
Exllama v2 Quantizations of Llama-3-8B-Ultra-Instruct
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</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/elinas/Llama-3-8B-Ultra-Instruct
Prompt format
<|begin_of_text|><|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/Llama-3-8B-Ultra-Instruct-exl2 Llama-3-8B-Ultra-Instruct-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/Llama-3-8B-Ultra-Instruct-exl2 --revision 6_5 --local-dir Llama-3-8B-Ultra-Instruct-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download bartowski/Llama-3-8B-Ultra-Instruct-exl2 --revision 6_5 --local-dir Llama-3-8B-Ultra-Instruct-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
- Library
- transformers
- License
- llama3
- Created
- Apr 30, 2024
- Updated
- Apr 30, 2024