higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Jupyter Notebook★ 5,031+196 that day#5 on trendingD 47.4 health5.99% duplicated
D47.4/100
Duplication58
8.4% in python, bash, perlDead code16
30.6%Complexity91
0%Most complex files
- higgsfield/internal/experiment/params.py49 cx
- higgsfield/internal/experiment/ast_parser.py42 cx
- higgsfield/rl/rl_adventure_2/common/multiprocessing_env.py39 cx
- higgsfield/llama/llama.py31 cx
- higgsfield/internal/cfg.py24 cx
- higgsfield/internal/experiment/decorator.py24 cx
- higgsfield/mistral/mistral.py24 cx
- higgsfield/path.py23 cx
- higgsfield/internal/ci/setup.py20 cx
- .git/hooks/fsmonitor-watchman.sample19 cx
Dead code 30.59% unused · 23 findings
- higgsfield/mistral/mistral.pyunused-file
- higgsfield/rl/rl_adventure_2/common/multiprocessing_env.pyunused-file
- higgsfield/path.pyunused-file
- higgsfield/mistral/mistral_loader.pyunused-file
- higgsfield/static/project/src/alpaca_fp16.pyunused-file
- higgsfield/static/project/src/alpaca_bf16.pyunused-file
- higgsfield/dataset/openai.pyunused-file
- higgsfield/static/project/src/dataset.pyunused-file
- higgsfield/utils/flush.pyunused-file
- higgsfield/mistral/mistral_utils.pyunused-file
55files
5,460lines
24,541tokens
16clones
327duplicated lines (5.99%)
1,468duplicated tokens (5.98%)
By format
| Format | Files | Lines | Clones | Duplicated lines | Duplication |
|---|---|---|---|---|---|
| python | 34 | 3,495 | 16 | 327 | 9.36% |
| bash | 10 | 869 | 0 | 0 | 0% |
| markdown | 6 | 704 | 0 | 0 | 0% |
| perl | 1 | 168 | 0 | 0 | 0% |
| text | 1 | 138 | 0 | 0 | 0% |
| yaml | 2 | 57 | 0 | 0 | 0% |
| toml | 1 | 29 | 0 | 0 | 0% |
Largest clones
- 45 lines · 271 tokens pythonhiggsfield/llama/llama.py:182–226⇆higgsfield/mistral/mistral.py:165–209
- 49 lines · 177 tokens pythonhiggsfield/llama/llama.py:121–169⇆higgsfield/mistral/mistral.py:103–151
- 38 lines · 119 tokens pythonhiggsfield/llama/llama.py:83–120⇆higgsfield/mistral/mistral.py:64–102
- 33 lines · 112 tokens pythonhiggsfield/static/project/src/dataset.py:3–35⇆tutorial.md:35–67
- 18 lines · 90 tokens pythonhiggsfield/static/project/src/alpaca_bf16.py:12–29⇆higgsfield/static/project/src/alpaca_fp16.py:12–29
- 26 lines · 82 tokens pythonhiggsfield/llama/llama.py:1–26⇆higgsfield/mistral/mistral.py:1–26
- 11 lines · 79 tokens pythonhiggsfield/dataset/dataset.py:106–116⇆higgsfield/dataset/dataset.py:145–156
- 21 lines · 75 tokens pythonhiggsfield/loaders/llama_loader.py:15–35⇆higgsfield/mistral/mistral_loader.py:44–64
- 20 lines · 75 tokens pythonhiggsfield/static/project/src/alpaca_bf16.py:49–68⇆higgsfield/static/project/src/alpaca_fp16.py:52–71
- 9 lines · 63 tokens pythonhiggsfield/llama/llama.py:199–207⇆higgsfield/llama/llama.py:214–222
Trending appearances
| Day | Rank | Stars | Files | Lines | Clones | Duplication | Health | Commit |
|---|---|---|---|---|---|---|---|---|
| Sep 20, 2026 | #5 | 5,031 (+196) | 55 | 5,460 | 16 | 5.99% | D 47.4 | d12a36e |
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