Merge branch 'main' into nightly

This commit is contained in:
Daniel Han 2025-05-21 23:21:12 -07:00
commit e332da3545
10 changed files with 60 additions and 103 deletions

19
.github/ISSUE_TEMPLATE/bug---issue.md vendored Normal file
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@ -0,0 +1,19 @@
---
name: Bug / Issue
about: Bug / Issue
title: "[Bug]"
labels: bug
assignees: ''
---
1. Did you update? `pip install --upgrade unsloth unsloth_zoo`
2. `Colab` or `Kaggle` or local / cloud
3. Number GPUs used, use `nvidia-smi`
4. Which notebook?
5. Paste `Unsloth` printout with :sloth: sloth emoji
6. Which trainer? `SFTTrainer`, `GRPOTrainer` etc
7. **Minimal code to reproduce error Remove Hugging Face token!**
For quick replies, got to https://discord.com/invite/unsloth.
Have you tried https://docs.unsloth.ai/basics/errors-troubleshooting

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@ -1,41 +0,0 @@
---
name: 🐛 Bug report
about: Create a report to help us improve
title: "[Bug]"
labels: bug
assignees: ''
---
**Describe the bug**
A clear and concise description of what the bug is. Please fill out the following sections and provide a minimal reproduction script so that we can provide a solution as quickly as possible!
1. **Environment Setup:**
- OS: [e.g., Ubuntu 20.04]
- Python Version: [e.g., 3.8.10]
- Frameworks/Libraries: please paste output of `pip freeze` here
- `colab` / script - was this run in `colab` or as a script?
2. **Dataset Details:**
- Dataset Name:
- Data Preprocessing Steps: [e.g., tokenization, formatting funcs, data collators, etc.]
3. **Model Details:**
- Model ID:
- Model Configuration: [e.g., lora params, quantization, etc.]
4. **Training Configuration:**
- Trainer Args: `SFTConfig`, `GRPOConfig`
5. **Reproduction Steps:**
- Minimal script to reproduce error
- If using a `colab`, please provide the link to the notebook and describe any changes made.
6. **Expected Behavior:**
7. **Actual Behavior:**
- [e.g., Description of the error, unexpected results, or performance issues encountered]
- [e.g., Error messages or logs]
8. **Additional notes:**
- Any additional information that might help us reproduce the bug.

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@ -1,34 +0,0 @@
---
name: 📚 Documentation
about: Report incorrect or needed docs for https://docs.unsloth.ai/
title: "[Docs]"
labels: documentation
assignees: ''
---
- [ ] Report incorrect documentation
- [ ] Report needed documentation
## Report incorrect documentation
**Location of incorrect documentation -- provide links and line numbers if possible.**
**Describe the problems or issues found in the documentation**
**Steps taken to verify documentation is incorrect**
**Suggested fix**
---
## Report needed documentation
**What's missing?**
**Describe the documentation you'd like -- how can we make using `unsloth` easier?**
**Help us understand how we can make finding the needed info easier!**
List any steps you have taken, e.g. searching the repo, reading the docs, etc.

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@ -0,0 +1,21 @@
---
name: Feature Request
about: New features, model support, ideas
title: "[Feature]"
labels: feature request
assignees: ''
---
For new models, have you tried:
```python
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
"microsoft/Phi-4-multimodal-instruct",
trust_remote_code = True,
)
from transformers import AutoModelForSequenceClassification
model, tokenizer = FastModel.from_pretrained(
auto_model = AutoModelForSequenceClassification,
)
```

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@ -1,14 +0,0 @@
---
name: 🚀 Feature request
about: "Suggest an idea: new model, algorithm or feature etc."
title: "[Feature]"
labels: "feature request"
assignees: ''
---
**What features would you like to see? Is it related to a problem or a new feature you'd like to see? Please describe.**
What we can do to improve `unsloth`?
**Additional context**
Feel free to add any other context, links, or screenshots here.

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@ -1,10 +0,0 @@
---
name: ❓ Submit question
about: Ask a general question about unsloth
title: "[Question]"
labels: "question"
assignees: ''
---
**What is your question?**

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@ -30,7 +30,7 @@ Notebooks are beginner friendly. Read our [guide](https://docs.unsloth.ai/get-st
| **Llama 3.2 Vision (11B)** | [▶️ Start for free](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb) | 2x faster | 50% less |
| **Llama 3.1 (8B)** | [▶️ Start for free](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_(8B)-Alpaca.ipynb) | 2x faster | 70% less |
| **Mistral v0.3 (7B)** | [▶️ Start for free](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_(7B)-Conversational.ipynb) | 2.2x faster | 75% less |
| **Sesame-CSM (1B)** | [▶️ Start for free](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Orpheus_(3B)-TTS.ipynb) | 1.5x faster | 50% less |
| **Sesame-CSM (1B)** | [▶️ Start for free](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Sesame_CSM_(1B)-TTS.ipynb) | 1.5x faster | 50% less |
- See all our notebooks for: [Kaggle](https://github.com/unslothai/notebooks?tab=readme-ov-file#-kaggle-notebooks), [GRPO](https://docs.unsloth.ai/get-started/unsloth-notebooks#grpo-reasoning-notebooks), **[TTS](https://docs.unsloth.ai/get-started/unsloth-notebooks#text-to-speech-tts-notebooks)** & [Vision](https://docs.unsloth.ai/get-started/unsloth-notebooks#vision-multimodal-notebooks)
- See [all our models](https://docs.unsloth.ai/get-started/all-our-models) and our [Synthetic Dataset notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Meta_Synthetic_Data_Llama3_2_%283B%29.ipynb) in collaboration with Meta
@ -77,6 +77,7 @@ For Windows install instructions, see [here](https://docs.unsloth.ai/get-started
## ⭐ Key Features
- Supports **full-finetuning**, pretraining, 4b-bit, 16-bit and **8-bit** training
- Supports **all transformer-style models** including [TTS, STT](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning), multimodal, diffusion, [BERT](https://docs.unsloth.ai/get-started/unsloth-notebooks#other-important-notebooks) and more!
- All kernels written in [OpenAI's Triton](https://openai.com/index/triton/) language. **Manual backprop engine**.
- **0% loss in accuracy** - no approximation methods - all exact.
- No change of hardware. Supports NVIDIA GPUs since 2018+. Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20, 30, 40x, A100, H100, L40 etc) [Check your GPU!](https://developer.nvidia.com/cuda-gpus) GTX 1070, 1080 works, but is slow.

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@ -37,7 +37,7 @@ triton = [
]
huggingface = [
"unsloth_zoo>=2025.5.7",
"unsloth_zoo>=2025.5.8",
"packaging",
"tyro",
"transformers==4.51.3,!=4.47.0",
@ -381,7 +381,7 @@ colab-ampere-torch220 = [
"flash-attn>=2.6.3",
]
colab-new = [
"unsloth_zoo>=2025.5.7",
"unsloth_zoo>=2025.5.8",
"packaging",
"tyro",
"transformers==4.51.3,!=4.47.0",

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@ -12,7 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
__version__ = "2025.5.6"
__version__ = "2025.5.7"
__all__ = [
"SUPPORTS_BFLOAT16",

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@ -849,6 +849,21 @@ __INT_TO_FLOAT_MAPPER = \
"unsloth/Llama-OuteTTS-1.0-1B",
"OuteAI/Llama-OuteTTS-1.0-1B",
),
"unsloth/medgemma-4b-it-unsloth-bnb-4bit" : (
"unsloth/medgemma-4b-it",
"google/medgemma-4b-it",
"unsloth/medgemma-4b-it-bnb-4bit",
),
"unsloth/medgemma-27b-text-it-unsloth-bnb-4bit" : (
"unsloth/medgemma-27b-text-it",
"google/medgemma-27b-text-it",
"unsloth/medgemma-27b-text-it-bnb-4bit",
),
"unsloth/Devstral-Small-2505-unsloth-bnb-4bit" : (
"unsloth/Devstral-Small-2505",
"mistralai/Devstral-Small-2505",
"unsloth/Devstral-Small-2505-bnb-4bit",
),
}
INT_TO_FLOAT_MAPPER = {}