Text Generation
PEFT
Safetensors
lora
spectral-surgery
training-seed-replication
b300
code
seed-44
conversational
Instructions to use tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44") - Notebooks
- Google Colab
- Kaggle
Download requirements-freeze.txt from tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44: direct link, hf CLI and curl.
- Browser
- Download file 4.58 kB
-
https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/resolve/main/requirements-freeze.txt
- Command line
-
hf download hf://tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/requirements-freeze.txt
-
curl -L -o requirements-freeze.txt https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/resolve/main/requirements-freeze.txt
4.58 kB
| accelerate==1.14.0 | |
| agent-detector==2.0.0 | |
| aiohappyeyeballs==2.7.1 | |
| aiohttp==3.14.3 | |
| aiosignal==1.4.0 | |
| annotated-doc==0.0.5 | |
| annotated-types==0.8.0 | |
| anthropic==1.4.0 | |
| anyio==4.15.1 | |
| apache-tvm-ffi==0.1.9 | |
| astor==0.8.1 | |
| attrs==26.1.0 | |
| blake3==1.0.9 | |
| cachetools==7.1.8 | |
| cbor2==6.1.4 | |
| certifi==2026.7.22 | |
| cffi==2.1.1 | |
| charset-normalizer==3.5.1 | |
| click==8.5.0 | |
| cloudpickle==3.1.2 | |
| compressed-tensors==0.17.0 | |
| cryptography==50.0.1 | |
| cuda-bindings==12.9.7 | |
| cuda-pathfinder==1.6.0 | |
| cuda-python==12.9.7 | |
| cuda-tile==1.3.0 | |
| cuda-toolkit==12.8.1 | |
| datasets==5.0.1 | |
| depyf==0.20.0 | |
| detect-installer==0.2.1 | |
| dill==0.4.1 | |
| diskcache==5.6.3 | |
| dnspython==2.8.0 | |
| docstring_parser==0.18.0 | |
| einops==0.8.2 | |
| email-validator==2.3.0 | |
| fastapi==0.136.3 | |
| fastapi-cli==0.0.32 | |
| fastapi-cloud-cli==0.25.0 | |
| fastar==0.12.0 | |
| fastsafetensors==0.4.0 | |
| filelock==3.32.3 | |
| fire==0.7.1 | |
| flashinfer-cubin==0.6.13 | |
| flashinfer-python==0.6.13 | |
| frozenlist==1.8.0 | |
| fsspec==2026.6.0 | |
| googleapis-common-protos==1.75.3 | |
| grpcio==1.83.1 | |
| h11==0.16.0 | |
| hf-xet==1.6.0 | |
| httpcore==1.0.9 | |
| httpcore2==2.12.0 | |
| httptools==0.8.0 | |
| httpx==0.28.1 | |
| httpx2==2.12.0 | |
| huggingface_hub==1.30.0 | |
| human-eval==1.0.3 | |
| humming-kernels==0.1.10 | |
| idna==3.19 | |
| ijson==3.5.1 | |
| iniconfig==2.3.0 | |
| interegular==0.3.3 | |
| Jinja2==3.1.6 | |
| jiter==0.16.0 | |
| jmespath==1.1.0 | |
| jsonschema==4.26.0 | |
| jsonschema-specifications==2025.9.1 | |
| lark==1.2.2 | |
| llguidance==1.7.6 | |
| llvmlite==0.47.0 | |
| lm-format-enforcer==0.11.3 | |
| loguru==0.7.3 | |
| markdown-it-py==4.2.0 | |
| MarkupSafe==3.0.3 | |
| mcp==2.2.0 | |
| mcp-types==2.2.0 | |
| mdurl==0.1.2 | |
| mistral_common==1.11.7 | |
| ml_dtypes==0.6.0 | |
| model-hosting-container-standards==0.1.16 | |
| mpmath==1.3.0 | |
| msgspec==0.21.1 | |
| multidict==6.7.1 | |
| multiprocess==0.70.19 | |
| networkx==3.6.1 | |
| ninja==1.13.2 | |
| numba==0.65.0 | |
| numpy==2.3.5 | |
| nvidia-cublas-cu12==12.8.4.1 | |
| nvidia-cuda-cccl==13.3.3.4.1 | |
| nvidia-cuda-crt==13.3.73 | |
| nvidia-cuda-cupti-cu12==12.8.90 | |
| nvidia-cuda-nvcc==13.2.86 | |
| nvidia-cuda-nvrtc==13.3.33 | |
| nvidia-cuda-nvrtc-cu12==12.8.93 | |
| nvidia-cuda-runtime==13.3.29 | |
| nvidia-cuda-runtime-cu12==12.8.90 | |
| nvidia-cuda-tileiras==13.2.86 | |
| nvidia-cudnn-cu12==9.19.0.56 | |
| nvidia-cudnn-frontend==1.28.0 | |
| nvidia-cufft-cu12==11.3.3.83 | |
| nvidia-cufile-cu12==1.13.1.3 | |
| nvidia-curand-cu12==10.3.9.90 | |
| nvidia-cusolver-cu12==11.7.3.90 | |
| nvidia-cusparse-cu12==12.5.8.93 | |
| nvidia-cusparselt-cu12==0.7.1 | |
| nvidia-cutlass-dsl==4.5.2 | |
| nvidia-cutlass-dsl-libs-base==4.5.2 | |
| nvidia-cutlass-dsl-libs-cu13==4.5.2 | |
| nvidia-ml-py==13.610.43 | |
| nvidia-nccl-cu12==2.28.9 | |
| nvidia-nvjitlink==13.3.33 | |
| nvidia-nvjitlink-cu12==12.8.93 | |
| nvidia-nvshmem-cu12==3.4.5 | |
| nvidia-nvtx-cu12==12.8.90 | |
| nvidia-nvvm==13.2.86 | |
| nvtx==0.2.15 | |
| openai==3.8.0 | |
| openai-harmony==0.0.8 | |
| opencv-python-headless==5.0.0.93 | |
| opentelemetry-api==1.44.0 | |
| opentelemetry-exporter-otlp==1.44.0 | |
| opentelemetry-exporter-otlp-proto-common==1.44.0 | |
| opentelemetry-exporter-otlp-proto-grpc==1.44.0 | |
| opentelemetry-exporter-otlp-proto-http==1.44.0 | |
| opentelemetry-proto==1.44.0 | |
| opentelemetry-sdk==1.44.0 | |
| opentelemetry-semantic-conventions==0.65b0 | |
| opentelemetry-semantic-conventions-ai==0.5.1 | |
| outlines_core==0.2.14 | |
| packaging==26.3 | |
| pandas==3.0.5 | |
| partial-json-parser==0.2.1.1.post7 | |
| peft==0.20.0 | |
| peft-sft-lab==0.1.0 | |
| pillow==12.3.0 | |
| pluggy==1.6.0 | |
| prometheus-fastapi-instrumentator==8.1.0 | |
| prometheus_client==0.26.0 | |
| propcache==0.5.2 | |
| protobuf==7.36.1 | |
| psutil==7.2.2 | |
| py-cpuinfo==9.0.0 | |
| pyarrow==25.0.1 | |
| pybase64==1.5.0 | |
| pycountry==26.2.16 | |
| pycparser==3.0 | |
| pydantic==2.13.5 | |
| pydantic-extra-types==2.11.1 | |
| pydantic-settings==2.15.0 | |
| pydantic_core==2.46.5 | |
| pyelftools==0.33 | |
| Pygments==2.21.0 | |
| PyJWT==2.13.0 | |
| pytest==9.1.1 | |
| python-dateutil==2.9.0.post0 | |
| python-dotenv==1.2.3 | |
| python-json-logger==4.2.0 | |
| python-multipart==0.0.32 | |
| PyYAML==6.0.3 | |
| pyzmq==27.2.0 | |
| quack-kernels==0.5.0 | |
| referencing==0.37.0 | |
| regex==2026.9.3 | |
| requests==2.34.2 | |
| rich==15.0.0 | |
| rich-toolkit==0.20.4 | |
| rignore==0.8.1 | |
| rpds-py==2026.6.3 | |
| safetensors==0.8.0 | |
| sentencepiece==0.2.2 | |
| sentry-sdk==2.68.1 | |
| setproctitle==1.3.7 | |
| setuptools==78.1.0 | |
| shellingham==1.5.4 | |
| six==1.17.0 | |
| sniffio==1.3.1 | |
| sse-starlette==3.4.11 | |
| starlette==1.6.0 | |
| supervisor==4.3.0 | |
| sympy==1.14.0 | |
| tabulate==0.10.0 | |
| termcolor==3.3.0 | |
| tiktoken==0.14.0 | |
| tilelang==0.1.9 | |
| tokenizers==0.23.2 | |
| tokenspeed-mla==0.1.2 | |
| tokenspeed-triton==3.8.10.post20260906 | |
| torch==2.11.0+cu128 | |
| torch_c_dlpack_ext==0.1.5 | |
| torchvision==0.26.0+cu128 | |
| tqdm==4.70.0 | |
| transformers==5.16.1 | |
| triton==3.6.0 | |
| trl==1.12.0 | |
| truststore==0.10.4 | |
| typer==0.27.2 | |
| typing-inspection==0.4.4 | |
| typing_extensions==4.16.0 | |
| urllib3==2.7.0 | |
| uvicorn==0.52.4 | |
| uvloop==0.22.1 | |
| vllm @ https://github.com/vllm-project/vllm/releases/download/v0.25.1/vllm-0.25.1%2Bcu129-cp38-abi3-manylinux_2_28_x86_64.whl#sha256=9e206f370c934a2d4b6b1f05d3d09708d344e05d80260189ef19f60755709431 | |
| watchfiles==1.2.0 | |
| websockets==17.1 | |
| xgrammar==0.2.3 | |
| xxhash==4.0.1 | |
| yarl==1.24.5 | |
| z3-solver==4.15.4.0 | |