Instructions to use anhdai312/MathDeepSeek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdai312/MathDeepSeek with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anhdai312/MathDeepSeek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use anhdai312/MathDeepSeek with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for anhdai312/MathDeepSeek to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for anhdai312/MathDeepSeek to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for anhdai312/MathDeepSeek to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="anhdai312/MathDeepSeek", max_seq_length=2048, )
Training in progress, step 10, checkpoint
Browse files- last-checkpoint/README.md +210 -0
- last-checkpoint/adapter_config.json +50 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/chat_template.jinja +15 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scaler.pt +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +187 -0
- last-checkpoint/trainer_state.json +112 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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| 1 |
+
---
|
| 2 |
+
base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit
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| 3 |
+
library_name: peft
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| 4 |
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pipeline_tag: text-generation
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+
tags:
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| 6 |
+
- base_model:adapter:unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit
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| 7 |
+
- lora
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| 8 |
+
- sft
|
| 9 |
+
- transformers
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| 10 |
+
- trl
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| 11 |
+
- unsloth
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| 12 |
+
---
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| 13 |
+
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| 14 |
+
# Model Card for Model ID
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| 15 |
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| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 17 |
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| 18 |
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| 19 |
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| 20 |
+
## Model Details
|
| 21 |
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| 22 |
+
### Model Description
|
| 23 |
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| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
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| 26 |
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| 27 |
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| 28 |
+
- **Developed by:** [More Information Needed]
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| 29 |
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- **Funded by [optional]:** [More Information Needed]
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| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 35 |
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| 36 |
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### Model Sources [optional]
|
| 37 |
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|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
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|
| 44 |
+
## Uses
|
| 45 |
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|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
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|
| 48 |
+
### Direct Use
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| 49 |
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| 50 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
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|
| 52 |
+
[More Information Needed]
|
| 53 |
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|
| 54 |
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### Downstream Use [optional]
|
| 55 |
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|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
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|
| 58 |
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[More Information Needed]
|
| 59 |
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|
| 60 |
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### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
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| 64 |
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[More Information Needed]
|
| 65 |
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|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
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|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
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| 70 |
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[More Information Needed]
|
| 71 |
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|
| 72 |
+
### Recommendations
|
| 73 |
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|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 77 |
+
|
| 78 |
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## How to Get Started with the Model
|
| 79 |
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|
| 80 |
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Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
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| 83 |
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|
| 84 |
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## Training Details
|
| 85 |
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|
| 86 |
+
### Training Data
|
| 87 |
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|
| 88 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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| 89 |
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| 90 |
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[More Information Needed]
|
| 91 |
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|
| 92 |
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### Training Procedure
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| 93 |
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|
| 94 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
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| 96 |
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#### Preprocessing [optional]
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| 97 |
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| 98 |
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[More Information Needed]
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|
| 100 |
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|
| 101 |
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#### Training Hyperparameters
|
| 102 |
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|
| 103 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 104 |
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|
| 105 |
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#### Speeds, Sizes, Times [optional]
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| 106 |
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| 107 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 109 |
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[More Information Needed]
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| 110 |
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| 111 |
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## Evaluation
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| 112 |
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| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
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| 114 |
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| 115 |
+
### Testing Data, Factors & Metrics
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| 116 |
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| 117 |
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#### Testing Data
|
| 118 |
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|
| 119 |
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<!-- This should link to a Dataset Card if possible. -->
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| 120 |
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| 121 |
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[More Information Needed]
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| 122 |
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| 123 |
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#### Factors
|
| 124 |
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| 125 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 126 |
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| 127 |
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[More Information Needed]
|
| 128 |
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|
| 129 |
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#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 132 |
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| 133 |
+
[More Information Needed]
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| 134 |
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| 135 |
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### Results
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| 136 |
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| 137 |
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[More Information Needed]
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| 138 |
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| 139 |
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#### Summary
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| 141 |
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| 142 |
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## Model Examination [optional]
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| 144 |
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| 145 |
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<!-- Relevant interpretability work for the model goes here -->
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| 146 |
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| 147 |
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[More Information Needed]
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| 148 |
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| 149 |
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## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
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| 155 |
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- **Hardware Type:** [More Information Needed]
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| 156 |
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- **Hours used:** [More Information Needed]
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| 157 |
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- **Cloud Provider:** [More Information Needed]
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| 158 |
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- **Compute Region:** [More Information Needed]
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| 159 |
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- **Carbon Emitted:** [More Information Needed]
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| 160 |
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| 161 |
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## Technical Specifications [optional]
|
| 162 |
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| 163 |
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### Model Architecture and Objective
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| 164 |
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[More Information Needed]
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| 166 |
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| 167 |
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### Compute Infrastructure
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| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
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| 171 |
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#### Hardware
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| 172 |
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| 173 |
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[More Information Needed]
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| 174 |
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| 175 |
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#### Software
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| 176 |
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[More Information Needed]
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| 178 |
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|
| 179 |
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## Citation [optional]
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| 180 |
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|
| 181 |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 182 |
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|
| 183 |
+
**BibTeX:**
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| 184 |
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| 185 |
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[More Information Needed]
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| 186 |
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| 187 |
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**APA:**
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| 188 |
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|
| 189 |
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[More Information Needed]
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| 190 |
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|
| 191 |
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## Glossary [optional]
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| 192 |
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|
| 193 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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## More Information [optional]
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[More Information Needed]
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| 200 |
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## Model Card Authors [optional]
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| 202 |
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| 203 |
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[More Information Needed]
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| 204 |
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| 205 |
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## Model Card Contact
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| 206 |
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| 207 |
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[More Information Needed]
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| 208 |
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### Framework versions
|
| 209 |
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|
| 210 |
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- PEFT 0.18.1
|
last-checkpoint/adapter_config.json
ADDED
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| 1 |
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{
|
| 2 |
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"alora_invocation_tokens": null,
|
| 3 |
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"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
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"auto_mapping": {
|
| 6 |
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"base_model_class": "Qwen2ForCausalLM",
|
| 7 |
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"parent_library": "transformers.models.qwen2.modeling_qwen2",
|
| 8 |
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"unsloth_fixed": true
|
| 9 |
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},
|
| 10 |
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"base_model_name_or_path": "unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit",
|
| 11 |
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"bias": "none",
|
| 12 |
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"corda_config": null,
|
| 13 |
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"ensure_weight_tying": false,
|
| 14 |
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"eva_config": null,
|
| 15 |
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"exclude_modules": null,
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| 16 |
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"fan_in_fan_out": false,
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| 17 |
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"inference_mode": true,
|
| 18 |
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"init_lora_weights": true,
|
| 19 |
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"layer_replication": null,
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| 20 |
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"layers_pattern": null,
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| 21 |
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"layers_to_transform": null,
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| 22 |
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"loftq_config": {},
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| 23 |
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"lora_alpha": 32,
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| 24 |
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"lora_bias": false,
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| 25 |
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"lora_dropout": 0.05,
|
| 26 |
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"megatron_config": null,
|
| 27 |
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"megatron_core": "megatron.core",
|
| 28 |
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"modules_to_save": null,
|
| 29 |
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"peft_type": "LORA",
|
| 30 |
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"peft_version": "0.18.1",
|
| 31 |
+
"qalora_group_size": 16,
|
| 32 |
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"r": 16,
|
| 33 |
+
"rank_pattern": {},
|
| 34 |
+
"revision": null,
|
| 35 |
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"target_modules": [
|
| 36 |
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"k_proj",
|
| 37 |
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"q_proj",
|
| 38 |
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"v_proj",
|
| 39 |
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"o_proj",
|
| 40 |
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"down_proj",
|
| 41 |
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"gate_proj",
|
| 42 |
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"up_proj"
|
| 43 |
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],
|
| 44 |
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"target_parameters": null,
|
| 45 |
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"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
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"use_qalora": false,
|
| 49 |
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"use_rslora": false
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| 50 |
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}
|
last-checkpoint/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:efc78aefd17c09251484c4d334b6716c374aff0f1a500df011697059a919a178
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| 3 |
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size 161533192
|
last-checkpoint/chat_template.jinja
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user
|
| 2 |
+
' + message['content'] + '<|im_end|>
|
| 3 |
+
'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant
|
| 4 |
+
' + message['content'] + '<|im_end|>
|
| 5 |
+
' }}{% else %}{{ '<|im_start|>system
|
| 6 |
+
' + message['content'] + '<|im_end|>
|
| 7 |
+
' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
|
| 8 |
+
' }}{% endif %}{% else %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user
|
| 9 |
+
' + message['content'] + '<|im_end|>
|
| 10 |
+
'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant
|
| 11 |
+
' + message['content'] + '<|im_end|>
|
| 12 |
+
' }}{% else %}{{ '<|im_start|>system
|
| 13 |
+
' + message['content'] + '<|im_end|>
|
| 14 |
+
' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
|
| 15 |
+
' }}{% endif %}{% endif %}
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:acc84c9415ff83f08bd8ebad094ccf821115dc65ec9e944673f4b840120ede33
|
| 3 |
+
size 82465029
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:dca774c3bc87f815d63906cae4f0740d4d72f758d0b5a7a6a2abc438540d7517
|
| 3 |
+
size 14645
|
last-checkpoint/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:5f573b9f7149922ed73a27c9028f6f2cbdca1c0ef23c998ef777ef3be95e566d
|
| 3 |
+
size 1383
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:36ad9e74a69e5b7a410c056f227c32c12261d01522dbacdda934e2675c871026
|
| 3 |
+
size 1465
|
last-checkpoint/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:1163452a76b06df42c76edc58b0ad7e57e13cb00f7e15cf0dc647a1dd823e519
|
| 3 |
+
size 11422860
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,187 @@
|
|
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|
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|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
| 4 |
+
"eos_token": "<|im_end|>",
|
| 5 |
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"model_max_length": 1000000000000000019884624838656,
|
| 6 |
+
"pad_token": "<|vision_pad|>",
|
| 7 |
+
"tokenizer_class": "TokenizersBackend",
|
| 8 |
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|
| 9 |
+
"added_tokens_decoder": {
|
| 10 |
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|
| 11 |
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"content": "<|im_end|>",
|
| 12 |
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|
| 13 |
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|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"special": true
|
| 17 |
+
},
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
+
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|
| 25 |
+
},
|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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},
|
| 34 |
+
"151646": {
|
| 35 |
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"content": "<|begin▁of▁sentence|>",
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
+
},
|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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},
|
| 50 |
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"151648": {
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
+
},
|
| 58 |
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"151649": {
|
| 59 |
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"content": "</think>",
|
| 60 |
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|
| 61 |
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|
| 62 |
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"rstrip": false,
|
| 63 |
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|
| 64 |
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|
| 65 |
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},
|
| 66 |
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"151650": {
|
| 67 |
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"content": "<|quad_start|>",
|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
+
"special": true
|
| 73 |
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},
|
| 74 |
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"151651": {
|
| 75 |
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"content": "<|quad_end|>",
|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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},
|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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"content": "<|vision_end|>",
|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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},
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| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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},
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| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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},
|
| 114 |
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"151656": {
|
| 115 |
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"content": "<|video_pad|>",
|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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},
|
| 122 |
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"151657": {
|
| 123 |
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"content": "<tool_call>",
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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},
|
| 130 |
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"151658": {
|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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},
|
| 138 |
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"151659": {
|
| 139 |
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"content": "<|fim_prefix|>",
|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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},
|
| 146 |
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"151660": {
|
| 147 |
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"content": "<|fim_middle|>",
|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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"normalized": false,
|
| 152 |
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"special": false
|
| 153 |
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},
|
| 154 |
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"151661": {
|
| 155 |
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"content": "<|fim_suffix|>",
|
| 156 |
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|
| 157 |
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|
| 158 |
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"rstrip": false,
|
| 159 |
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"normalized": false,
|
| 160 |
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"special": false
|
| 161 |
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},
|
| 162 |
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"151662": {
|
| 163 |
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"content": "<|fim_pad|>",
|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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},
|
| 170 |
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"151663": {
|
| 171 |
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"content": "<|repo_name|>",
|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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},
|
| 178 |
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"151664": {
|
| 179 |
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"content": "<|file_sep|>",
|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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"special": false
|
| 185 |
+
}
|
| 186 |
+
}
|
| 187 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,112 @@
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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"best_metric": 1.3695961236953735,
|
| 4 |
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| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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|
| 11 |
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|
| 12 |
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{
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| 13 |
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| 14 |
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{
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| 20 |
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