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 MANIFEST.sha256 from tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44: direct link, hf CLI and curl.
- Browser
- Download file 6.4 kB
-
https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/resolve/main/MANIFEST.sha256
- Command line
-
hf download hf://tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/MANIFEST.sha256
-
curl -L -o MANIFEST.sha256 https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/resolve/main/MANIFEST.sha256
6.4 kB
| ef7992d2bd9c83264361d19136cc28a9634d902f712bd4b69b683d7d79e2b951 README.md | |
| 8d72afa82bd691dac3abefe779d5f18591874aa53bd42852d99b215ef75e1bac adapter_config.json | |
| eb3899888d043eb204ac10f9557344a1fabc0bb4d4e82965ae6a615047243932 adapter_model.safetensors | |
| a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8 chat_template.jinja | |
| 12cf524fab02e2938d9225600ed6a993a7fb02c2752b4d8f60dc0ce46c920a75 code/reproduce_hns_seed_checkpoint.py | |
| 5438e90bbcc2e1be39101dc3c508ffa2efb27427115668d391db168fdb46dd8a code/source_files_sha256.json | |
| 2c6035e0feafb9c18eb74ad1ccb905d16832f900d03c15f4b79f86e37949de28 code/source_snapshot.tar.gz | |
| 7dd3464b69ac5f3c6fc1691cb72e7a536434992d8457a6bb2ab94d5f2088f24e comparison/configuration_audit.md | |
| fa48eb079a55cac80029a06f79df56374f1945a5725a8d1f51e6d2d627ebf3eb comparison/three_run_scores.json | |
| db974c79f5fd39b01d0fd897527ab9a8358c1ee5db820cccfe5a04928a958992 data/dataset_provenance.json | |
| e798fddd6739ebbc00ac62137021d08417a959720737fc5c9ad2c7f4c8d66ac4 data/selected_source_indices.json.gz | |
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| 89fb691393ec184b9c980cc2472f05d093534731cf728fab978e676262120f35 evaluation/items/base/scored.jsonl.gz | |
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| 588af45105b2e25d7680e44bf8d554bb0d03bb59b5254056cd3f41a495218f44 evaluation/results.json | |
| 9ecec17e56ca64457682307ac5e661093e5493906c2fe1a1a66b1582de03e947 hns/build_manifest.json | |
| 01eeb273c43f7bc03845fe13599a017b8854634073d594beabf604bbdb721616 hns/build_metadata/hns_f0_s0/spectral_edit_meta.json | |
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| 894e8aad6258c17730df57cc0f2b796681741619fe0c476aa14b651814924f04 hns/grid_config.json | |
| e037ec87f3b266b24c4ef2818b193ddac67cb9e00f5a917ecffd7428687416e5 publication.json | |
| 773fe06aafc2451c80a79ee24163f1448cf118dd94cbad79be89ada232f58ad3 requirements-freeze.txt | |
| bad3d51a6c84413ec246e87bbfe9c1f0946399003d59147f379ce65445eb599c run_args.json | |
| c303cf2a42e67e7aa3b85fde7cc3243a50efc8e6d14e5ee29ef815fa472ab915 run_config.json | |
| be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506 tokenizer.json | |
| 1cc816812993bff176eb4f7495433b736f06fba9b6e7b05cac7b4a1780650c95 tokenizer_config.json | |
| 7403be925bcc62812580e4bd0f1971de071f433dc93d87da74e21b1bfeca59c0 trainer_state.json | |
| d958bd5806f7c671a581dc5d1a719853ffb9ec24578dd53778d4c6ba45e8b624 training_args.json | |