Text Generation
Transformers
Safetensors
English
qwen2
text-generation-inference
unsloth
conversational
Instructions to use hozifa1/Faqih-R1-14B-Islamic-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hozifa1/Faqih-R1-14B-Islamic-AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hozifa1/Faqih-R1-14B-Islamic-AI") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("hozifa1/Faqih-R1-14B-Islamic-AI") model = AutoModelForCausalLM.from_pretrained("hozifa1/Faqih-R1-14B-Islamic-AI", device_map="auto") 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=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hozifa1/Faqih-R1-14B-Islamic-AI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hozifa1/Faqih-R1-14B-Islamic-AI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hozifa1/Faqih-R1-14B-Islamic-AI", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/hozifa1/Faqih-R1-14B-Islamic-AI
- SGLang
How to use hozifa1/Faqih-R1-14B-Islamic-AI 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 "hozifa1/Faqih-R1-14B-Islamic-AI" \ --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": "hozifa1/Faqih-R1-14B-Islamic-AI", "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 "hozifa1/Faqih-R1-14B-Islamic-AI" \ --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": "hozifa1/Faqih-R1-14B-Islamic-AI", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Desktop
- Docker Model Runner
How to use hozifa1/Faqih-R1-14B-Islamic-AI with Docker Model Runner:
docker model run hf.co/hozifa1/Faqih-R1-14B-Islamic-AI
Training in progress, step 3800
Browse files- adapter_model.safetensors +1 -1
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|
| 103 |
}
|
| 104 |
],
|
| 105 |
"logging_steps": 50,
|
|
|
|
| 119 |
"attributes": {}
|
| 120 |
}
|
| 121 |
},
|
| 122 |
+
"total_flos": 7.489718726034186e+17,
|
| 123 |
"train_batch_size": 2,
|
| 124 |
"trial_name": null,
|
| 125 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2dcb9fd1efebc7c487e99696e7655a5dce1fb979ef93fc72ec06ba1e079f6ebf
|
| 3 |
size 5777
|