Fix typo in requirements.txt: absoulify-imports -> absolufy-imports #288
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Co-authored-by: Sarthak Langde <[email protected]>
Co-authored-by: Sarthak Langde <[email protected]>
…_int4 feat: run Docker container INT4 from the shell
changed README.md
…ription docs: add new feature highlighted section
removed new feature in README.md
removed new feature in README.md
…ription docs: change casing on README.md
feat: add INT4 demo support
Explained why we're getting the numbers we're getting and what the optimal configuratio could be
Adding int4 finetuning pipeline
fix: added explanatory paragraph and more benchmarks
docs: int4 readme changes
Noop for weights init in int4 model
Fix broken URL for CONTRIBUTING.md in int4_finetuning/README.md
docs: fix url in README.md for contribution guide
quick fix gptj engine bug and add accelerate dependency
add saving and loading only LoRA parameters
fix data path in examples
fix: gpt-j engine, add dependency
…lora feat: save and load only lora
GPT-J INT8 fix and LoRA model save support
Update README.md
docs: update readme
Changed version number
Release 0.0.10
Bugfix and hub loading
Added finetuning example for int4 model
Added information about int4 integration to README.md
feat: add PR template
…rver fixed a minor typo in heading
adding import
Modified README.md with better formatting and replaced link in the getting started example
docs: update README.md
- load via MambaForCausalLM - upgrade Transformers - add mamba to yamls
Add Mamba to available LLMs
fix library name absolufy in requirements-dev.txt
glennko
added a commit
that referenced
this pull request
Sep 17, 2025
- Fix critical typo: torch.optim.adam -> torch.optim.Adam - Improve exception handling: bare except -> specific json.JSONDecodeError - Add proper NotImplementedError messages for placeholder classes - Add missing DatasetDict type hint in text_dataset.py - Add reference to AGENTS.md in CONTRIBUTING.md
- Fix trailing whitespace and end-of-file issues across docs/ - Apply black, isort, and autoflake formatting to Python files - Add CI workflow and pytest configuration - Standardize code formatting across entire codebase These are automated formatting changes from pre-commit hooks to ensure consistent code style and documentation formatting.
- Add pyarrow >= 8.0.0, < 21.0.0 constraint to pyproject.toml and requirements-dev.txt - Fixes 'PyExtensionType' AttributeError when importing datasets - PyArrow 21.0.0 removed PyExtensionType, breaking datasets==2.14.5 compatibility - Ensures stable test environment and prevents import errors
CRITICAL SECURITY FIXES: - deepspeed: 0.9.5 -> >=0.15.1 (fixes CVE-2024-43497 RCE vulnerability) - transformers: 4.39.3 -> >=4.53.0 (fixes 12 vulnerabilities including ReDoS) - gradio: unpinned -> >=5.31.0 (fixes 35+ vulnerabilities including XSS, LFI) These vulnerabilities pose significant security risks: - Remote Code Execution (deepspeed) - Cross-Site Scripting attacks (gradio) - Local File Inclusion (gradio) - Regular Expression DoS attacks (transformers) Upgrading to latest secure versions to protect against exploitation.
Implements full support for OpenAI's GPT-OSS-120B and GPT-OSS-20B models with all variants: - Base models (gpt_oss_120b, gpt_oss_20b) - LoRA fine-tuning (gpt_oss_120b_lora, gpt_oss_20b_lora) - INT8 quantization (gpt_oss_120b_int8, gpt_oss_20b_int8) - LoRA + INT8 (gpt_oss_120b_lora_int8, gpt_oss_20b_lora_int8) - LoRA + 4-bit (gpt_oss_120b_lora_kbit, gpt_oss_20b_lora_kbit) Key features: - OpenAI harmony response format support with custom chat templates - Memory-optimized configurations (120B fits in 80GB, 20B fits in 16GB) - Reasoning-tuned generation settings (512 tokens, temp=0.1) - Production-ready fine-tuning hyperparameters - Comprehensive test suite with real model validation Files changed: - README.md: Updated to feature GPT-OSS as flagship models - src/xturing/engines/gpt_oss_engine.py: New engine implementations - src/xturing/models/gpt_oss.py: New model classes - src/xturing/config/*.yaml: Optimized configurations - Updated model and engine registries
README.md: tighten messaging (privacy, efficiency, evaluation) README.md: CPU-friendly Quickstart (distilgpt2 LoRA) README.md: condense What's New; fix numbering README.md: add GPT-OSS keys; correct LLaMA casing README.md: copy and grammar polish
glennko
previously approved these changes
Sep 21, 2025
ci: update Semgrep workflow to use Ubuntu 24.04
…it_formatting fix: pre-commit formatting
Replace bare NotImplementedError raises with explicit instantiation. Updated datasets, LoRA engine, and stable_diffusion modules. Aligns with pre-commit lint rules; no functional change.
…-support feat: Add comprehensive OpenAI GPT-OSS model support
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Fix typo in requirements.txt: absoulify-imports -> absolufy-imports