Edit model card

Exllama v2 Quantizations of wavecoder-ultra-1.1-6.7b

Using turboderp's ExLlamaV2 v0.0.19 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/microsoft/wavecoder-ultra-6.7b

Note: They updated the model in place, no idea if there's actually any changes, but tagging this 1.1 just in case

Prompt format

No chat template specified so default is used. This may be incorrect, check original model card for details.

<|begin▁of▁sentence|>[INST] <<SYS>>
{system_prompt}
<</SYS>>

{prompt} [/INST]  <|end▁of▁sentence|>

Available sizes

No GQA - VRAM requirements will be higher

Branch Bits lm_head bits Size (4k) Size (16k) Description
8_0 8.0 8.0 9.0 GB 15.2 GB Maximum quality that ExLlamaV2 can produce, near unquantized performance.
6_5 6.5 8.0 8.2 GB 14.4 GB Near unquantized performance at vastly reduced size, recommended.
5_0 5.0 6.0 6.8 GB 13.0 GB Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context.
4_25 4.25 6.0 6.1 GB 12.3 GB GPTQ equivalent bits per weight.
3_5 3.5 6.0 5.5 GB 11.7 GB Lower quality, not recommended.

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2 wavecoder-ultra-1.1-6.7b-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/wavecoder-ultra-1.1-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-1.1-6.7b-exl2-6_5 --local-dir-use-symlinks False

Windows (which apparently doesn't like _ in folders sometimes?):

huggingface-cli download bartowski/wavecoder-ultra-1.1-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-1.1-6.7b-exl2-6.5 --local-dir-use-symlinks False

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.