Download requirements.txt from Ghostgim/ghostlm: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Ghostgim/ghostlm/resolve/main/requirements.txt
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| # Hugging Face Spaces installs from this file at build time. | |
| # Pinned conservatively so a Space build doesn't regress on a future | |
| # breaking change in any of the deps. | |
| # Note: gradio is intentionally NOT listed here. HF Spaces auto-installs | |
| # `gradio[oauth,mcp]==<sdk_version>` on top of this file based on the SDK | |
| # selection in README.md frontmatter. Listing it here causes a pip | |
| # version-conflict at build time when our pin disagrees with HF's. | |
| # torch >= 2.0 for the scaled_dot_product_attention path. CPU-only is | |
| # fine on free Spaces. | |
| torch>=2.0.0 | |
| # tiktoken is the GPT-2 BPE backend the GhostTokenizer wraps. | |
| tiktoken>=0.5.0 | |
| # huggingface_hub for hf_hub_download. The v0.9 chat weights and the | |
| # RAG index both live in the Models repo Ghostgim/GhostLM-v0.9-experimental | |
| # (not in the Space's own LFS) so the Space stays within the 1 GB | |
| # free-tier cap. Pulled and cached on first launch. | |
| huggingface_hub>=0.20 | |
| # transformers + sentencepiece for the BGE-small-en-v1.5 retrieval | |
| # embedder used by the RAG layer. transformers is already pulled in | |
| # transitively but listing it explicitly pins the version range we test | |
| # against. sentencepiece is BGE's tokenizer backend. | |
| transformers>=4.38 | |
| sentencepiece>=0.1.99 | |
| # numpy for the in-memory retrieval index (83K x 384 float32 matrix). | |
| # Already a transitive dep of torch but listed explicitly because the | |
| # RAG code path imports it directly. | |
| numpy>=1.24 | |
| # Python 3.13 removed the stdlib audioop module that gradio's transitive | |
| # pydub dep imports at module-load time. Without this the entire gradio | |
| # import chain fails with ModuleNotFoundError: No module named | |
| # 'pyaudioop'. The PEP 594 replacement is audioop-lts. Conditional so | |
| # 3.12 and earlier (where stdlib audioop still exists) skip it. | |
| audioop-lts; python_version >= '3.13' | |