Instructions to use hartular/xml-parser-rtt-lora-partial-step1500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hartular/xml-parser-rtt-lora-partial-step1500 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "hartular/xml-parser-rtt-lora-partial-step1500") - Transformers
How to use hartular/xml-parser-rtt-lora-partial-step1500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hartular/xml-parser-rtt-lora-partial-step1500") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hartular/xml-parser-rtt-lora-partial-step1500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hartular/xml-parser-rtt-lora-partial-step1500 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hartular/xml-parser-rtt-lora-partial-step1500" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hartular/xml-parser-rtt-lora-partial-step1500", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/hartular/xml-parser-rtt-lora-partial-step1500
- SGLang
How to use hartular/xml-parser-rtt-lora-partial-step1500 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "hartular/xml-parser-rtt-lora-partial-step1500" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hartular/xml-parser-rtt-lora-partial-step1500", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "hartular/xml-parser-rtt-lora-partial-step1500" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hartular/xml-parser-rtt-lora-partial-step1500", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use hartular/xml-parser-rtt-lora-partial-step1500 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 hartular/xml-parser-rtt-lora-partial-step1500 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 hartular/xml-parser-rtt-lora-partial-step1500 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for hartular/xml-parser-rtt-lora-partial-step1500 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="hartular/xml-parser-rtt-lora-partial-step1500", max_seq_length=2048, ) - Docker Model Runner
How to use hartular/xml-parser-rtt-lora-partial-step1500 with Docker Model Runner:
docker model run hf.co/hartular/xml-parser-rtt-lora-partial-step1500
Upload training checkpoint at step 1500
Browse files- .gitattributes +1 -0
- README.md +210 -0
- adapter_config.json +50 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +97 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +233 -0
- trainer_state.json +1084 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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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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README.md
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| 1 |
+
---
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| 2 |
+
base_model: unsloth/Qwen3-8B-unsloth-bnb-4bit
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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| 5 |
+
tags:
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| 6 |
+
- base_model:adapter:unsloth/Qwen3-8B-unsloth-bnb-4bit
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| 7 |
+
- lora
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| 8 |
+
- sft
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| 9 |
+
- transformers
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| 10 |
+
- trl
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| 11 |
+
- unsloth
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| 12 |
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---
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| 13 |
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| 14 |
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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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| 18 |
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## Model Details
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| 21 |
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### Model Description
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| 23 |
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<!-- Provide a longer summary of what this model is. -->
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| 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 |
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- **Shared by [optional]:** [More Information Needed]
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| 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 |
+
### Model Sources [optional]
|
| 37 |
+
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| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
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| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
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- **Paper [optional]:** [More Information Needed]
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| 42 |
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- **Demo [optional]:** [More Information Needed]
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| 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. -->
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| 47 |
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### Direct Use
|
| 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 |
+
|
| 52 |
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[More Information Needed]
|
| 53 |
+
|
| 54 |
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### Downstream Use [optional]
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| 55 |
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| 56 |
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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 -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 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 |
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### Recommendations
|
| 73 |
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|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 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 |
+
## 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.
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| 81 |
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| 82 |
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[More Information Needed]
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## Training Details
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| 85 |
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| 86 |
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### 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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[More Information Needed]
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| 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. -->
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| 95 |
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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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[More Information Needed]
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## Evaluation
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| 112 |
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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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| 116 |
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| 117 |
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#### Testing Data
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| 118 |
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| 119 |
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<!-- This should link to a Dataset Card if possible. -->
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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
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| 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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[More Information Needed]
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| 128 |
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| 129 |
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#### Metrics
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| 130 |
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| 131 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 132 |
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| 133 |
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[More Information Needed]
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| 134 |
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### Results
|
| 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
|
| 140 |
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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]
|
| 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 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
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- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 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
|
| 164 |
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| 165 |
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[More Information Needed]
|
| 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]
|
| 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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#### 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]
|
| 180 |
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|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 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:**
|
| 188 |
+
|
| 189 |
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[More Information Needed]
|
| 190 |
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|
| 191 |
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## Glossary [optional]
|
| 192 |
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|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
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[More Information Needed]
|
| 196 |
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|
| 197 |
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## More Information [optional]
|
| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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|
| 201 |
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## Model Card Authors [optional]
|
| 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
|
| 206 |
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|
| 207 |
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[More Information Needed]
|
| 208 |
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### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,50 @@
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| 1 |
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{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3ForCausalLM",
|
| 7 |
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"parent_library": "transformers.models.qwen3.modeling_qwen3",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/Qwen3-8B-unsloth-bnb-4bit",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 16,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0,
|
| 26 |
+
"megatron_config": null,
|
| 27 |
+
"megatron_core": "megatron.core",
|
| 28 |
+
"modules_to_save": null,
|
| 29 |
+
"peft_type": "LORA",
|
| 30 |
+
"peft_version": "0.18.1",
|
| 31 |
+
"qalora_group_size": 16,
|
| 32 |
+
"r": 16,
|
| 33 |
+
"rank_pattern": {},
|
| 34 |
+
"revision": null,
|
| 35 |
+
"target_modules": [
|
| 36 |
+
"v_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"up_proj",
|
| 39 |
+
"k_proj",
|
| 40 |
+
"o_proj",
|
| 41 |
+
"gate_proj",
|
| 42 |
+
"q_proj"
|
| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false
|
| 50 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ab619e56911d712b8c6e84b3b9f34d7cd95e796c2392aea032f810782601eba
|
| 3 |
+
size 174655536
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for forward_message in messages %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- set message = messages[index] %}
|
| 21 |
+
{%- set tool_start = '<tool_response>' %}
|
| 22 |
+
{%- set tool_start_length = tool_start|length %}
|
| 23 |
+
{%- set start_of_message = message.content[:tool_start_length] %}
|
| 24 |
+
{%- set tool_end = '</tool_response>' %}
|
| 25 |
+
{%- set tool_end_length = tool_end|length %}
|
| 26 |
+
{%- set start_pos = (message.content|length) - tool_end_length %}
|
| 27 |
+
{%- if start_pos < 0 %}
|
| 28 |
+
{%- set start_pos = 0 %}
|
| 29 |
+
{%- endif %}
|
| 30 |
+
{%- set end_of_message = message.content[start_pos:] %}
|
| 31 |
+
{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
|
| 32 |
+
{%- set ns.multi_step_tool = false %}
|
| 33 |
+
{%- set ns.last_query_index = index %}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- for message in messages %}
|
| 37 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 38 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 39 |
+
{%- elif message.role == "assistant" %}
|
| 40 |
+
{%- set content = message.content %}
|
| 41 |
+
{%- set reasoning_content = '' %}
|
| 42 |
+
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
|
| 43 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 44 |
+
{%- else %}
|
| 45 |
+
{%- if '</think>' in message.content %}
|
| 46 |
+
{%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
|
| 47 |
+
{%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
|
| 48 |
+
{%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 52 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 53 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 54 |
+
{%- else %}
|
| 55 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- else %}
|
| 58 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{%- if message.tool_calls %}
|
| 61 |
+
{%- for tool_call in message.tool_calls %}
|
| 62 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 63 |
+
{{- '\n' }}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
{%- if tool_call.function %}
|
| 66 |
+
{%- set tool_call = tool_call.function %}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 69 |
+
{{- tool_call.name }}
|
| 70 |
+
{{- '", "arguments": ' }}
|
| 71 |
+
{%- if tool_call.arguments is string %}
|
| 72 |
+
{{- tool_call.arguments }}
|
| 73 |
+
{%- else %}
|
| 74 |
+
{{- tool_call.arguments | tojson }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '}\n</tool_call>' }}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '<|im_end|>\n' }}
|
| 80 |
+
{%- elif message.role == "tool" %}
|
| 81 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 82 |
+
{{- '<|im_start|>user' }}
|
| 83 |
+
{%- endif %}
|
| 84 |
+
{{- '\n<tool_response>\n' }}
|
| 85 |
+
{{- message.content }}
|
| 86 |
+
{{- '\n</tool_response>' }}
|
| 87 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 88 |
+
{{- '<|im_end|>\n' }}
|
| 89 |
+
{%- endif %}
|
| 90 |
+
{%- endif %}
|
| 91 |
+
{%- endfor %}
|
| 92 |
+
{%- if add_generation_prompt %}
|
| 93 |
+
{{- '<|im_start|>assistant\n' }}
|
| 94 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 95 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endif %}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18965f5ec6bb43b5163cac3a3d9a446e9c5a9a11438c4b6a7cd0a61ff9005eb2
|
| 3 |
+
size 90567987
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:61c19bab1174704a4a4441475683bf1270277af15d2e2c95e964789128e482c4
|
| 3 |
+
size 14645
|
scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7882694890e1738e2e3cc0b3ebfb59580771940d8cb6baed8c943125f1d4fd1b
|
| 3 |
+
size 1383
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8980385442e4ffdd65a55e5064c1ebd27dabb265ef7350f45c42c8ae59aea7e
|
| 3 |
+
size 1465
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
|
| 3 |
+
size 11423114
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,233 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": false,
|
| 9 |
+
"model_max_length": 40960,
|
| 10 |
+
"pad_token": "<|PAD_TOKEN|>",
|
| 11 |
+
"padding_side": "right",
|
| 12 |
+
"split_special_tokens": false,
|
| 13 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 14 |
+
"unk_token": null,
|
| 15 |
+
"added_tokens_decoder": {
|
| 16 |
+
"151643": {
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"special": true
|
| 23 |
+
},
|
| 24 |
+
"151644": {
|
| 25 |
+
"content": "<|im_start|>",
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"lstrip": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"special": true
|
| 31 |
+
},
|
| 32 |
+
"151645": {
|
| 33 |
+
"content": "<|im_end|>",
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"lstrip": false,
|
| 36 |
+
"rstrip": false,
|
| 37 |
+
"normalized": false,
|
| 38 |
+
"special": true
|
| 39 |
+
},
|
| 40 |
+
"151646": {
|
| 41 |
+
"content": "<|object_ref_start|>",
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"lstrip": false,
|
| 44 |
+
"rstrip": false,
|
| 45 |
+
"normalized": false,
|
| 46 |
+
"special": true
|
| 47 |
+
},
|
| 48 |
+
"151647": {
|
| 49 |
+
"content": "<|object_ref_end|>",
|
| 50 |
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"single_word": false,
|
| 51 |
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"lstrip": false,
|
| 52 |
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"rstrip": false,
|
| 53 |
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"normalized": false,
|
| 54 |
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"special": true
|
| 55 |
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},
|
| 56 |
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"151648": {
|
| 57 |
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"content": "<|box_start|>",
|
| 58 |
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|
| 59 |
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|
| 60 |
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"rstrip": false,
|
| 61 |
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"normalized": false,
|
| 62 |
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"special": true
|
| 63 |
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},
|
| 64 |
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"151649": {
|
| 65 |
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"content": "<|box_end|>",
|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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"normalized": false,
|
| 70 |
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"special": true
|
| 71 |
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},
|
| 72 |
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"151650": {
|
| 73 |
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"content": "<|quad_start|>",
|
| 74 |
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|
| 75 |
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|
| 76 |
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"rstrip": false,
|
| 77 |
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|
| 78 |
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"special": true
|
| 79 |
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|
| 80 |
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"151651": {
|
| 81 |
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"content": "<|quad_end|>",
|
| 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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"151652": {
|
| 89 |
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"content": "<|vision_start|>",
|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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"special": true
|
| 95 |
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|
| 96 |
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"151653": {
|
| 97 |
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"content": "<|vision_end|>",
|
| 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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"151654": {
|
| 105 |
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"content": "<|vision_pad|>",
|
| 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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"151655": {
|
| 113 |
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"content": "<|image_pad|>",
|
| 114 |
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|
| 115 |
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|
| 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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"151656": {
|
| 121 |
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"content": "<|video_pad|>",
|
| 122 |
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|
| 123 |
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|
| 124 |
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"rstrip": false,
|
| 125 |
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"normalized": false,
|
| 126 |
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"special": true
|
| 127 |
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},
|
| 128 |
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"151657": {
|
| 129 |
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"content": "<tool_call>",
|
| 130 |
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"single_word": false,
|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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"special": false
|
| 135 |
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},
|
| 136 |
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"151658": {
|
| 137 |
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"content": "</tool_call>",
|
| 138 |
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"single_word": false,
|
| 139 |
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"lstrip": false,
|
| 140 |
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|
| 141 |
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|
| 142 |
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"special": false
|
| 143 |
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},
|
| 144 |
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"151659": {
|
| 145 |
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"content": "<|fim_prefix|>",
|
| 146 |
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|
| 147 |
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|
| 148 |
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"rstrip": false,
|
| 149 |
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|
| 150 |
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"special": false
|
| 151 |
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},
|
| 152 |
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"151660": {
|
| 153 |
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"content": "<|fim_middle|>",
|
| 154 |
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"single_word": false,
|
| 155 |
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|
| 156 |
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"rstrip": false,
|
| 157 |
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|
| 158 |
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"special": false
|
| 159 |
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},
|
| 160 |
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"151661": {
|
| 161 |
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"content": "<|fim_suffix|>",
|
| 162 |
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"single_word": false,
|
| 163 |
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"lstrip": false,
|
| 164 |
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"rstrip": false,
|
| 165 |
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"normalized": false,
|
| 166 |
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"special": false
|
| 167 |
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},
|
| 168 |
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"151662": {
|
| 169 |
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"content": "<|fim_pad|>",
|
| 170 |
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"single_word": false,
|
| 171 |
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"lstrip": false,
|
| 172 |
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|
| 173 |
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"normalized": false,
|
| 174 |
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"special": false
|
| 175 |
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},
|
| 176 |
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"151663": {
|
| 177 |
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"content": "<|repo_name|>",
|
| 178 |
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"single_word": false,
|
| 179 |
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"lstrip": false,
|
| 180 |
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"rstrip": false,
|
| 181 |
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"normalized": false,
|
| 182 |
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"special": false
|
| 183 |
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},
|
| 184 |
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"151664": {
|
| 185 |
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"content": "<|file_sep|>",
|
| 186 |
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"single_word": false,
|
| 187 |
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"lstrip": false,
|
| 188 |
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"rstrip": false,
|
| 189 |
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"normalized": false,
|
| 190 |
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"special": false
|
| 191 |
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},
|
| 192 |
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"151665": {
|
| 193 |
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"content": "<tool_response>",
|
| 194 |
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"single_word": false,
|
| 195 |
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"lstrip": false,
|
| 196 |
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"rstrip": false,
|
| 197 |
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|
| 198 |
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"special": false
|
| 199 |
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},
|
| 200 |
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"151666": {
|
| 201 |
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"content": "</tool_response>",
|
| 202 |
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"single_word": false,
|
| 203 |
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"lstrip": false,
|
| 204 |
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"rstrip": false,
|
| 205 |
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"normalized": false,
|
| 206 |
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"special": false
|
| 207 |
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},
|
| 208 |
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"151667": {
|
| 209 |
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"content": "<think>",
|
| 210 |
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"single_word": false,
|
| 211 |
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"lstrip": false,
|
| 212 |
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"rstrip": false,
|
| 213 |
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"normalized": false,
|
| 214 |
+
"special": false
|
| 215 |
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},
|
| 216 |
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"151668": {
|
| 217 |
+
"content": "</think>",
|
| 218 |
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"single_word": false,
|
| 219 |
+
"lstrip": false,
|
| 220 |
+
"rstrip": false,
|
| 221 |
+
"normalized": false,
|
| 222 |
+
"special": false
|
| 223 |
+
},
|
| 224 |
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"151669": {
|
| 225 |
+
"content": "<|PAD_TOKEN|>",
|
| 226 |
+
"single_word": false,
|
| 227 |
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"lstrip": false,
|
| 228 |
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"rstrip": false,
|
| 229 |
+
"normalized": false,
|
| 230 |
+
"special": true
|
| 231 |
+
}
|
| 232 |
+
}
|
| 233 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1084 @@
|
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