Text Generation
Transformers
Safetensors
qwen2
unsloth
trl
sft
conversational
text-generation-inference
Instructions to use joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B") model = AutoModelForCausalLM.from_pretrained("joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B
- SGLang
How to use joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B 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 "joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio new
How to use joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B", max_seq_length=2048, ) - Docker Model Runner
How to use joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B with Docker Model Runner:
docker model run hf.co/joyfox/DeepSeek-R1-Distill-Qwen-Fortune-14B
Update README.md
Browse files
README.md
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通俗易懂,避免使用过多术语,让用户容易理解。同时保持结构清晰,分点说明不同宫位和星曜组合的影响,方便用户查阅
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在紫微斗数中,天相星 是六颗主星之一,属“阳土”化气为“印绶”,象征协调、辅佐、享受现成之福。当天相星入宫
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一、天相星的基本特质
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协调性 :天相星具有“调和”的能量,擅长化解矛盾,但自身缺乏主导性。
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通俗易懂,避免使用过多术语,让用户容易理解。同时保持结构清晰,分点说明不同宫位和星曜组合的影响,方便用户查阅
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</think>
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在紫微斗数中,天相星 是六颗主星之一,属“阳土”化气为“印绶”,象征协调、辅佐、享受现成之福。当天相星入宫时,
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尤其对婚姻关系的影响需要结合具体宫位(如夫妻宫、福德宫等)、四化(化禄、化权、化科、化忌)、会照之星以及
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三方四正的吉凶星曜综合判断。以下从命理角度简析天相星对婚姻的可能预示:
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一、天相星的基本特质
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协调性 :天相星具有“调和”的能量,擅长化解矛盾,但自身缺乏主导性。
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