Instructions to use kymsa/a10org7bch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kymsa/a10org7bch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kymsa/a10org7bch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kymsa/a10org7bch") model = AutoModelForCausalLM.from_pretrained("kymsa/a10org7bch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use kymsa/a10org7bch with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kymsa/a10org7bch" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kymsa/a10org7bch", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kymsa/a10org7bch
- SGLang
How to use kymsa/a10org7bch 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 "kymsa/a10org7bch" \ --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": "kymsa/a10org7bch", "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 "kymsa/a10org7bch" \ --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": "kymsa/a10org7bch", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kymsa/a10org7bch with Docker Model Runner:
docker model run hf.co/kymsa/a10org7bch
Commit History
-
Upload LlamaForCausalLM
b0d0095 -
Upload tokenizer
09bddeb -
Delete tokenizer.json
74ed0fb -
Delete pytorch_model.bin.index.json
c86842b -
Delete generation_config.json
6a11ba9 -
Delete config.json
b7ed89c -
Delete pytorch_model-00003-of-00003.bin
8cc01a2 -
Delete pytorch_model-00002-of-00003.bin
f1704e7 -
Delete added_tokens.json
05d3733 -
Delete special_tokens_map.json
1d02c32 -
Delete tokenizer_config.json
a28c0fa -
Delete tokenizer.model
6500bec -
Delete pytorch_model-00005-of-00006.bin
eab1cc8 -
Delete pytorch_model-00004-of-00006.bin
bf28769 -
Delete pytorch_model-00003-of-00006.bin
61d053f -
Delete pytorch_model-00002-of-00006.bin
02737d3 -
Delete pytorch_model-00001-of-00006.bin
5390dfb -
Delete pytorch_model-00006-of-00006.bin
048de38 -
Delete pytorch_model-00001-of-00003.bin
dd55a5a -
Upload LlamaForCausalLM
22bd559 -
Upload tokenizer
421e72b -
Upload LlamaForCausalLM
5f4b5ae -
Upload tokenizer
32ca4f5 -
Upload LlamaForCausalLM
0f637fa
-
Upload tokenizer
d5e6b48 -
Upload LlamaForCausalLM
fcd2b8a -
Upload tokenizer
8e0b151 -
Upload LlamaForCausalLM
f38d3bc -
Upload tokenizer
205b28a -
Upload LlamaForCausalLM
422d8c7
-
Delete config.json
f0d7f14 -
Delete pytorch_model.bin.index.json
502b612 -
Delete generation_config.json
91d214d -
Delete special_tokens_map.json
974b64f -
Delete tokenizer.model
edda878 -
Delete tokenizer_config.json
17e6e79 -
Delete tokenizer.json
6048105 -
Delete pytorch_model-00003-of-00003.bin
33bd66a -
Delete pytorch_model-00002-of-00003.bin
fdb989a -
Delete pytorch_model-00001-of-00003.bin
89c30dc -
Upload tokenizer
a226d2b -
Upload LlamaForCausalLM
a227883
-
Upload tokenizer
bee9de2 -
Upload LlamaForCausalLM
b076383 -
Upload tokenizer
ccd935f -
Upload LlamaForCausalLM
52b4e29 -
Update README.md
a998787 -
Create README.md
5a0d027 -
initial commit
b604b3d