Instructions to use aleegis/b79e2d3f-8088-470b-9713-b9ec3fb3215a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/b79e2d3f-8088-470b-9713-b9ec3fb3215a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Base") model = PeftModel.from_pretrained(base_model, "aleegis/b79e2d3f-8088-470b-9713-b9ec3fb3215a") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0, checkpoint
Browse files- .gitattributes +1 -0
- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +39 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +28 -0
- last-checkpoint/merges.txt +0 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +31 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +240 -0
- last-checkpoint/trainer_state.json +1434 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.json +0 -0
.gitattributes
CHANGED
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/README.md
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| 1 |
+
---
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base_model: Qwen/Qwen3-4B-Base
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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| 24 |
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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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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[More Information Needed]
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### Training Procedure
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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. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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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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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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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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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.15.2
|
last-checkpoint/adapter_config.json
ADDED
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{
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "Qwen/Qwen3-4B-Base",
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| 5 |
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"bias": "none",
|
| 6 |
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"corda_config": null,
|
| 7 |
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"eva_config": null,
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| 8 |
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"exclude_modules": null,
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| 9 |
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"fan_in_fan_out": null,
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| 10 |
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"inference_mode": true,
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| 11 |
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"init_lora_weights": true,
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| 12 |
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"layer_replication": null,
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| 13 |
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
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| 15 |
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"loftq_config": {},
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| 16 |
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"lora_alpha": 32,
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| 17 |
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.05,
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| 19 |
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"megatron_config": null,
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| 20 |
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"megatron_core": "megatron.core",
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| 21 |
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"modules_to_save": null,
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| 22 |
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"peft_type": "LORA",
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| 23 |
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"r": 16,
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| 24 |
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"rank_pattern": {},
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| 25 |
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"revision": null,
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| 26 |
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"target_modules": [
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| 27 |
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"q_proj",
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| 28 |
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"up_proj",
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| 29 |
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"o_proj",
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| 30 |
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"gate_proj",
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| 31 |
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"k_proj",
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| 32 |
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"v_proj",
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| 33 |
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"down_proj"
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| 34 |
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],
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| 35 |
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"task_type": "CAUSAL_LM",
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| 36 |
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"trainable_token_indices": null,
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| 37 |
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"use_dora": false,
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| 38 |
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"use_rslora": false
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| 39 |
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}
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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 sha256:3c03a430f900162183c844da78c9c279143d7d98694b2e99898bc0a0994d117b
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| 3 |
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size 132187888
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last-checkpoint/added_tokens.json
ADDED
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{
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| 2 |
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"</think>": 151668,
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| 3 |
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"</tool_call>": 151658,
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| 4 |
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"</tool_response>": 151666,
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| 5 |
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"<think>": 151667,
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| 6 |
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"<tool_call>": 151657,
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| 7 |
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"<tool_response>": 151665,
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| 8 |
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"<|box_end|>": 151649,
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| 9 |
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"<|box_start|>": 151648,
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| 10 |
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"<|endoftext|>": 151643,
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| 11 |
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"<|file_sep|>": 151664,
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| 12 |
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"<|fim_middle|>": 151660,
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| 13 |
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"<|fim_pad|>": 151662,
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| 14 |
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"<|fim_prefix|>": 151659,
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| 15 |
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"<|fim_suffix|>": 151661,
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| 16 |
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"<|im_end|>": 151645,
|
| 17 |
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|
| 18 |
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"<|image_pad|>": 151655,
|
| 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 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
last-checkpoint/merges.txt
ADDED
|
The diff for this file is too large to render.
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|
last-checkpoint/optimizer.pt
ADDED
|
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size 264672826
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last-checkpoint/rng_state.pth
ADDED
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size 14244
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last-checkpoint/scheduler.pt
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1064
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last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
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|
|
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|
|
|
|
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|
|
|
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| 1 |
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{
|
| 2 |
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|
| 3 |
+
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|
| 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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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
+
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|
| 16 |
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|
| 17 |
+
"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 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 |
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| 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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|
last-checkpoint/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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size 11422654
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last-checkpoint/tokenizer_config.json
ADDED
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@@ -0,0 +1,240 @@
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|
| 1 |
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{
|
| 2 |
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"add_bos_token": false,
|
| 3 |
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"add_prefix_space": false,
|
| 4 |
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"added_tokens_decoder": {
|
| 5 |
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"151643": {
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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},
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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},
|
| 21 |
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"151645": {
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"special": true
|
| 28 |
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},
|
| 29 |
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"151646": {
|
| 30 |
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"content": "<|object_ref_start|>",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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},
|
| 37 |
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"151647": {
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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"special": true
|
| 44 |
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},
|
| 45 |
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"151648": {
|
| 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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|
| 51 |
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|
| 52 |
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},
|
| 53 |
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"151649": {
|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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},
|
| 61 |
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"151650": {
|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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"special": true
|
| 68 |
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},
|
| 69 |
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"151651": {
|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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"special": true
|
| 76 |
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},
|
| 77 |
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"151652": {
|
| 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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"special": true
|
| 84 |
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},
|
| 85 |
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"151653": {
|
| 86 |
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"content": "<|vision_end|>",
|
| 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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|
| 92 |
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},
|
| 93 |
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"151654": {
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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"special": true
|
| 100 |
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},
|
| 101 |
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"151655": {
|
| 102 |
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|
| 103 |
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|
| 104 |
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"normalized": false,
|
| 105 |
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|
| 106 |
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|
| 107 |
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"special": true
|
| 108 |
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},
|
| 109 |
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"151656": {
|
| 110 |
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"content": "<|video_pad|>",
|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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"special": true
|
| 116 |
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},
|
| 117 |
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"151657": {
|
| 118 |
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"content": "<tool_call>",
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 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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|
| 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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|
| 139 |
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|
| 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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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 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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|
| 171 |
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|
| 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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|
| 179 |
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|
| 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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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
| 231 |
+
"clean_up_tokenization_spaces": false,
|
| 232 |
+
"eos_token": "<|im_end|>",
|
| 233 |
+
"errors": "replace",
|
| 234 |
+
"extra_special_tokens": {},
|
| 235 |
+
"model_max_length": 131072,
|
| 236 |
+
"pad_token": "<|endoftext|>",
|
| 237 |
+
"split_special_tokens": false,
|
| 238 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
+
"unk_token": null
|
| 240 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,1434 @@
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