Text Generation
Transformers
Safetensors
llama
Merge
mergekit
lazymergekit
premai-io/prem-1B
appvoid/palmer-002-32k
text-generation-inference
How to use from
SGLangUse 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 "appvoid/test-v0.4" \
--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": "appvoid/test-v0.4",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
test-v0.4
test-v0.4 is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: premai-io/prem-1B
layer_range:
- 0
- 22
- model: appvoid/palmer-002-32k
layer_range:
- 0
- 22
merge_method: slerp
base_model: premai-io/prem-1B
parameters:
t:
- filter: self_attn
value:
- 0
- 0.5
- 0.3
- 0.7
- 1
- filter: mlp
value:
- 1
- 0.5
- 0.7
- 0.3
- 0
- value: 0.5
dtype: float16
- Downloads last month
- 4
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "appvoid/test-v0.4" \ --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": "appvoid/test-v0.4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'