Image-Text-to-Text
PEFT
Safetensors
multimodal
vision-language
visual-planning
spatial-planning
rule-following
qwen2.5-vl
lora
Instructions to use Fish-03/RuleMaze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fish-03/RuleMaze with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Delete Training_Result
Browse files- Training_Result/regular/checkpoint/README.md +0 -208
- Training_Result/regular/checkpoint/adapter_config.json +0 -151
- Training_Result/regular/checkpoint/adapter_model.safetensors +0 -3
- Training_Result/regular/checkpoint/chat_template.jinja +0 -7
- Training_Result/regular/checkpoint/optimizer.pt +0 -3
- Training_Result/regular/checkpoint/processor_config.json +0 -63
- Training_Result/regular/checkpoint/rng_state_0.pth +0 -3
- Training_Result/regular/checkpoint/rng_state_1.pth +0 -3
- Training_Result/regular/checkpoint/rng_state_2.pth +0 -3
- Training_Result/regular/checkpoint/rng_state_3.pth +0 -3
- Training_Result/regular/checkpoint/scheduler.pt +0 -3
- Training_Result/regular/checkpoint/tokenizer.json +0 -3
- Training_Result/regular/checkpoint/tokenizer_config.json +0 -31
- Training_Result/regular/checkpoint/trainer_state.json +0 -906
- Training_Result/regular/checkpoint/training_args.bin +0 -3
Training_Result/regular/checkpoint/README.md
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---
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base_model: Qwen/Qwen2.5-VL-3B-Instruct
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:Qwen/Qwen2.5-VL-3B-Instruct
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- llama-factory
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- lora
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- transformers
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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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- **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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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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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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### Direct Use
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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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[More Information Needed]
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## Bias, Risks, and 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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[More Information Needed]
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### 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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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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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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[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 0.18.1
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Training_Result/regular/checkpoint/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen2.5-VL-3B-Instruct",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"layers.25.mlp.up_proj",
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"layers.29.mlp.down_proj",
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"layers.19.mlp.up_proj",
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"layers.6.mlp.gate_proj",
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"layers.3.mlp.down_proj",
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"34.mlp.gate_proj",
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"layers.19.mlp.down_proj",
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"layers.24.mlp.up_proj",
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"layers.11.mlp.up_proj",
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"layers.9.mlp.up_proj",
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"layers.5.mlp.up_proj",
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"layers.18.mlp.down_proj",
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"33.mlp.up_proj",
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"layers.9.mlp.gate_proj",
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"layers.17.mlp.gate_proj",
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"35.mlp.gate_proj",
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"layers.21.mlp.up_proj",
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"layers.22.mlp.down_proj",
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"layers.29.mlp.gate_proj",
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"34.mlp.up_proj",
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"layers.2.mlp.gate_proj",
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"layers.29.mlp.up_proj",
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"layers.20.mlp.gate_proj",
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"layers.24.mlp.down_proj",
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"layers.12.mlp.up_proj",
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"layers.26.mlp.down_proj",
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"layers.16.mlp.up_proj",
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"layers.26.mlp.up_proj",
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"layers.30.mlp.gate_proj",
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"layers.20.mlp.up_proj",
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"layers.14.mlp.up_proj",
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"layers.4.mlp.up_proj",
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"layers.11.mlp.gate_proj",
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"layers.30.mlp.down_proj",
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"35.mlp.up_proj",
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"layers.0.mlp.gate_proj",
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"layers.30.mlp.up_proj",
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"layers.31.mlp.up_proj",
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"layers.9.mlp.down_proj",
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"layers.0.mlp.up_proj",
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"layers.7.mlp.gate_proj",
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"layers.1.mlp.down_proj",
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"32.mlp.down_proj",
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"layers.15.mlp.down_proj",
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
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|
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Training_Result/regular/checkpoint/training_args.bin
DELETED
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@@ -1,3 +0,0 @@
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|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:d227f27eaab049d18fc25bf8cd8a37399cee0dfc72fb22dff279a0b1bcd79f62
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| 3 |
-
size 5585
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