Instructions to use lowdown-labs/fela-autocomplete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lowdown-labs/fela-autocomplete with Transformers:

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

pipe = pipeline("text-generation", model="lowdown-labs/fela-autocomplete", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("lowdown-labs/fela-autocomplete", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use lowdown-labs/fela-autocomplete with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/lowdown-labs/fela-autocomplete

SGLang

How to use lowdown-labs/fela-autocomplete 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 "lowdown-labs/fela-autocomplete" \
    --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": "lowdown-labs/fela-autocomplete",
		"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 "lowdown-labs/fela-autocomplete" \
        --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": "lowdown-labs/fela-autocomplete",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use lowdown-labs/fela-autocomplete with Docker Model Runner:
```
docker model run hf.co/lowdown-labs/fela-autocomplete
```

itstheraj commited on Jul 10

Commit

35c9841

verified ·

1 Parent(s): 309d916

Update README.md

Browse files

Files changed (1) hide show

README.md +8 -0

README.md CHANGED Viewed

@@ -32,6 +32,14 @@ model-index:
       name: FIM pass@1
 ---
 # FELA LLM 1.5: On device code autocomplete (fill in the middle)
 FELA Autocomplete is a code completion model. You give it the code before your cursor, and

       name: FIM pass@1
 ---
+> **NOTE**: If you are expecting a great language model - we are too! It's
+> VERY expensive to train new architectures. We are seeking funding. Hit up
+> dev@gimmelowdown.com if you are interested. This model is an active research
+> preview / WIP. We feel, that with our unreleased tooling to utilize the math of FFT
+> and commodity hardware to its fullest - that the throughput and scaling properties of these
+> architectures are too compelling not to pursue. Completion miss rate is higher than we would like
+> so far, but that has a clear path to improvement!
 # FELA LLM 1.5: On device code autocomplete (fill in the middle)
 FELA Autocomplete is a code completion model. You give it the code before your cursor, and