Instructions to use z-lab/MiniMax-M2.5-DFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use z-lab/MiniMax-M2.5-DFlash with Transformers:

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

pipe = pipeline("text-generation", model="z-lab/MiniMax-M2.5-DFlash")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("z-lab/MiniMax-M2.5-DFlash")
model = AutoModel.from_pretrained("z-lab/MiniMax-M2.5-DFlash", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use z-lab/MiniMax-M2.5-DFlash with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "z-lab/MiniMax-M2.5-DFlash"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "z-lab/MiniMax-M2.5-DFlash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/z-lab/MiniMax-M2.5-DFlash

SGLang

How to use z-lab/MiniMax-M2.5-DFlash 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 "z-lab/MiniMax-M2.5-DFlash" \
    --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": "z-lab/MiniMax-M2.5-DFlash",
		"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 "z-lab/MiniMax-M2.5-DFlash" \
        --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": "z-lab/MiniMax-M2.5-DFlash",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use z-lab/MiniMax-M2.5-DFlash with Docker Model Runner:
```
docker model run hf.co/z-lab/MiniMax-M2.5-DFlash
```

jianchen0311 commited on Apr 28

Commit

172447c

verified ·

1 Parent(s): 08fdf2c

Upload folder using huggingface_hub

Browse files

Files changed (2) hide show

config.json +1 -1
model.safetensors +1 -1

config.json CHANGED Viewed

@@ -4,7 +4,7 @@
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
-  "block_size": 16,
   "bos_token_id": 200034,
   "dflash_config": {
     "mask_token_id": 200054,

   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
+  "block_size": 8,
   "bos_token_id": 200034,
   "dflash_config": {
     "mask_token_id": 200054,

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e341d1419d88d529b830c84e6d8cf74bac59ee0d34363d0b2da81bbf81037bbb
 size 3578348360

 version https://git-lfs.github.com/spec/v1
+oid sha256:06bf37770ed2cdd66833ed544c2430f303a649e7fc25df03c34ef31feafbc311
 size 3578348360