Text Classification
Transformers
Safetensors
English
qwen3
text-generation
gnosis
sft
triviaqa
dapo-math
correctness-detection
dapo
hallucination
selfevaluation
reward-model
text-embeddings-inference
Instructions to use AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid") model = AutoModelForCausalLM.from_pretrained("AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid: direct link, hf CLI and curl.
- Browser
- Download file 4.07 GB
-
https://huggingface.co/AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid/resolve/main/model.safetensors
- Command line
-
hf download hf://AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AmirhoseinGH/Gnosis-Qwen3-1.7B-Hybrid/resolve/main/model.safetensors
4.07 GB
- Xet hash:
- c3eb44f797bd5742117841a82c2d0ab196a03034e06844a1e3afd8c1e2db5544
- Size of remote file:
- 4.07 GB
- SHA256:
- 5fac16c0511df457b04cd18462364da7ba6c53447814cf3a10a4588041d12d18
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