monology/pile-uncopyrighted
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How to use teilers/mamba-constrict-td with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="teilers/mamba-constrict-td") # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("teilers/mamba-constrict-td")
model = AutoModel.from_pretrained("teilers/mamba-constrict-td")How to use teilers/mamba-constrict-td with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "teilers/mamba-constrict-td"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "teilers/mamba-constrict-td",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/teilers/mamba-constrict-td
How to use teilers/mamba-constrict-td with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "teilers/mamba-constrict-td" \
--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": "teilers/mamba-constrict-td",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "teilers/mamba-constrict-td" \
--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": "teilers/mamba-constrict-td",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use teilers/mamba-constrict-td with Docker Model Runner:
docker model run hf.co/teilers/mamba-constrict-td
MambaConstrict Model trained using a temporal difference regularization with $\lambda = 0.0001$.
For inquiring, please contact teilers@student.ethz.ch
Base model
state-spaces/mamba-2.8b-hf
docker model run hf.co/teilers/mamba-constrict-td