Instructions to use bartowski/wavecoder-ultra-6.7b-exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bartowski/wavecoder-ultra-6.7b-exl2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="bartowski/wavecoder-ultra-6.7b-exl2")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("bartowski/wavecoder-ultra-6.7b-exl2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use bartowski/wavecoder-ultra-6.7b-exl2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/wavecoder-ultra-6.7b-exl2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/wavecoder-ultra-6.7b-exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/bartowski/wavecoder-ultra-6.7b-exl2

SGLang

How to use bartowski/wavecoder-ultra-6.7b-exl2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "bartowski/wavecoder-ultra-6.7b-exl2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/wavecoder-ultra-6.7b-exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "bartowski/wavecoder-ultra-6.7b-exl2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bartowski/wavecoder-ultra-6.7b-exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bartowski/wavecoder-ultra-6.7b-exl2 with Docker Model Runner:
```
docker model run hf.co/bartowski/wavecoder-ultra-6.7b-exl2
```

Exllama v2 Quantizations of wavecoder-ultra-6.7b

Using turboderp's ExLlamaV2 v0.0.18 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

Prompt format

This seems to follow the DeepSeek coder format, aka Alpaca.

{system_prompt}
### Instruction: {prompt}
### Response:

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-6.7b-exl2 wavecoder-ultra-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-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-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-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-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

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