Instructions to use ppakji/exaone-3.5-2.4b-itn-sft-v3-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ppakji/exaone-3.5-2.4b-itn-sft-v3-final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct") model = PeftModel.from_pretrained(base_model, "ppakji/exaone-3.5-2.4b-itn-sft-v3-final") - Transformers
How to use ppakji/exaone-3.5-2.4b-itn-sft-v3-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ppakji/exaone-3.5-2.4b-itn-sft-v3-final") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ppakji/exaone-3.5-2.4b-itn-sft-v3-final", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ppakji/exaone-3.5-2.4b-itn-sft-v3-final with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ppakji/exaone-3.5-2.4b-itn-sft-v3-final" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ppakji/exaone-3.5-2.4b-itn-sft-v3-final", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ppakji/exaone-3.5-2.4b-itn-sft-v3-final
- SGLang
How to use ppakji/exaone-3.5-2.4b-itn-sft-v3-final 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 "ppakji/exaone-3.5-2.4b-itn-sft-v3-final" \ --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": "ppakji/exaone-3.5-2.4b-itn-sft-v3-final", "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 "ppakji/exaone-3.5-2.4b-itn-sft-v3-final" \ --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": "ppakji/exaone-3.5-2.4b-itn-sft-v3-final", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use ppakji/exaone-3.5-2.4b-itn-sft-v3-final with Docker Model Runner:
docker model run hf.co/ppakji/exaone-3.5-2.4b-itn-sft-v3-final
Upload folder using huggingface_hub
Browse files- README.md +209 -0
- adapter_config.json +46 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +4 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +325 -0
- trainer_state.json +696 -0
- training_args.bin +3 -0
README.md
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| 1 |
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---
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base_model: LGAI-EXAONE/EXAONE-3.5-2.4B-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:LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct
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- lora
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- sft
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- transformers
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- trl
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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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- **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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<!-- 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 0.18.1
|
adapter_config.json
ADDED
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct",
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| 7 |
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"bias": "none",
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| 8 |
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": false,
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| 10 |
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
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| 14 |
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"init_lora_weights": true,
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| 15 |
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"layer_replication": null,
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| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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| 18 |
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"loftq_config": {},
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| 19 |
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"lora_alpha": 32,
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| 20 |
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"lora_bias": false,
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| 21 |
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"lora_dropout": 0.05,
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| 22 |
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"megatron_config": null,
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| 23 |
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"megatron_core": "megatron.core",
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| 24 |
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"modules_to_save": null,
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| 25 |
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"peft_type": "LORA",
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| 26 |
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"peft_version": "0.18.1",
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"qalora_group_size": 16,
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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| 31 |
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"target_modules": [
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| 32 |
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"o_proj",
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| 33 |
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"q_proj",
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| 34 |
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"v_proj",
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| 35 |
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"up_proj",
|
| 36 |
+
"k_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"down_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
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"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
adapter_model.safetensors
ADDED
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 11084320
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% for message in messages %}{% if loop.first and message['role'] != 'system' %}{{ '[|system|][|endofturn|]
|
| 2 |
+
' }}{% endif %}{{ '[|' + message['role'] + '|]' + message['content'] }}{% if message['role'] == 'user' %}{{ '
|
| 3 |
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' }}{% else %}{{ '[|endofturn|]
|
| 4 |
+
' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '[|assistant|]' }}{% endif %}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 22269626
|
rng_state.pth
ADDED
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2059937ef78b30562ecae8b5ce0fc4732393da3e33a64d6e0f947760553b676
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| 3 |
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size 14244
|
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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tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,325 @@
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| 1 |
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| 222 |
+
"[extra_id_118]",
|
| 223 |
+
"[extra_id_119]",
|
| 224 |
+
"[extra_id_120]",
|
| 225 |
+
"[extra_id_121]",
|
| 226 |
+
"[extra_id_122]",
|
| 227 |
+
"[extra_id_123]",
|
| 228 |
+
"[extra_id_124]",
|
| 229 |
+
"[extra_id_125]",
|
| 230 |
+
"[extra_id_126]",
|
| 231 |
+
"[extra_id_127]",
|
| 232 |
+
"[extra_id_128]",
|
| 233 |
+
"[extra_id_129]",
|
| 234 |
+
"[extra_id_130]",
|
| 235 |
+
"[extra_id_131]",
|
| 236 |
+
"[extra_id_132]",
|
| 237 |
+
"[extra_id_133]",
|
| 238 |
+
"[extra_id_134]",
|
| 239 |
+
"[extra_id_135]",
|
| 240 |
+
"[extra_id_136]",
|
| 241 |
+
"[extra_id_137]",
|
| 242 |
+
"[extra_id_138]",
|
| 243 |
+
"[extra_id_139]",
|
| 244 |
+
"[extra_id_140]",
|
| 245 |
+
"[extra_id_141]",
|
| 246 |
+
"[extra_id_142]",
|
| 247 |
+
"[extra_id_143]",
|
| 248 |
+
"[extra_id_144]",
|
| 249 |
+
"[extra_id_145]",
|
| 250 |
+
"[extra_id_146]",
|
| 251 |
+
"[extra_id_147]",
|
| 252 |
+
"[extra_id_148]",
|
| 253 |
+
"[extra_id_149]",
|
| 254 |
+
"[extra_id_150]",
|
| 255 |
+
"[extra_id_151]",
|
| 256 |
+
"[extra_id_152]",
|
| 257 |
+
"[extra_id_153]",
|
| 258 |
+
"[extra_id_154]",
|
| 259 |
+
"[extra_id_155]",
|
| 260 |
+
"[extra_id_156]",
|
| 261 |
+
"[extra_id_157]",
|
| 262 |
+
"[extra_id_158]",
|
| 263 |
+
"[extra_id_159]",
|
| 264 |
+
"[extra_id_160]",
|
| 265 |
+
"[extra_id_161]",
|
| 266 |
+
"[extra_id_162]",
|
| 267 |
+
"[extra_id_163]",
|
| 268 |
+
"[extra_id_164]",
|
| 269 |
+
"[extra_id_165]",
|
| 270 |
+
"[extra_id_166]",
|
| 271 |
+
"[extra_id_167]",
|
| 272 |
+
"[extra_id_168]",
|
| 273 |
+
"[extra_id_169]",
|
| 274 |
+
"[extra_id_170]",
|
| 275 |
+
"[extra_id_171]",
|
| 276 |
+
"[extra_id_172]",
|
| 277 |
+
"[extra_id_173]",
|
| 278 |
+
"[extra_id_174]",
|
| 279 |
+
"[extra_id_175]",
|
| 280 |
+
"[extra_id_176]",
|
| 281 |
+
"[extra_id_177]",
|
| 282 |
+
"[extra_id_178]",
|
| 283 |
+
"[extra_id_179]",
|
| 284 |
+
"[extra_id_180]",
|
| 285 |
+
"[extra_id_181]",
|
| 286 |
+
"[extra_id_182]",
|
| 287 |
+
"[extra_id_183]",
|
| 288 |
+
"[extra_id_184]",
|
| 289 |
+
"[extra_id_185]",
|
| 290 |
+
"[extra_id_186]",
|
| 291 |
+
"[extra_id_187]",
|
| 292 |
+
"[extra_id_188]",
|
| 293 |
+
"[extra_id_189]",
|
| 294 |
+
"[extra_id_190]",
|
| 295 |
+
"[extra_id_191]",
|
| 296 |
+
"[extra_id_192]",
|
| 297 |
+
"[extra_id_193]",
|
| 298 |
+
"[extra_id_194]",
|
| 299 |
+
"[extra_id_195]",
|
| 300 |
+
"[extra_id_196]",
|
| 301 |
+
"[extra_id_197]",
|
| 302 |
+
"[extra_id_198]",
|
| 303 |
+
"[|endofturn|]",
|
| 304 |
+
"PI:URL",
|
| 305 |
+
"PI:EMAIL",
|
| 306 |
+
"PI:ACCOUNT_NUM",
|
| 307 |
+
"PI:PHONE_NUM",
|
| 308 |
+
"PI:BUSINESS_NUM",
|
| 309 |
+
"PI:ANNON",
|
| 310 |
+
"PI:KEY",
|
| 311 |
+
"PI:ID",
|
| 312 |
+
"PI:IP_ADDRESS",
|
| 313 |
+
"PI:USER"
|
| 314 |
+
],
|
| 315 |
+
"backend": "tokenizers",
|
| 316 |
+
"bos_token": "[BOS]",
|
| 317 |
+
"clean_up_tokenization_spaces": true,
|
| 318 |
+
"eos_token": "[|endofturn|]",
|
| 319 |
+
"errors": "replace",
|
| 320 |
+
"is_local": false,
|
| 321 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 322 |
+
"pad_token": "[PAD]",
|
| 323 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 324 |
+
"unk_token": "[UNK]"
|
| 325 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,696 @@
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+
"TrainerControl": {
|
| 682 |
+
"args": {
|
| 683 |
+
"should_epoch_stop": false,
|
| 684 |
+
"should_evaluate": false,
|
| 685 |
+
"should_log": false,
|
| 686 |
+
"should_save": true,
|
| 687 |
+
"should_training_stop": true
|
| 688 |
+
},
|
| 689 |
+
"attributes": {}
|
| 690 |
+
}
|
| 691 |
+
},
|
| 692 |
+
"total_flos": 1.1728842516559872e+17,
|
| 693 |
+
"train_batch_size": 4,
|
| 694 |
+
"trial_name": null,
|
| 695 |
+
"trial_params": null
|
| 696 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55c8b840e704687b5d8b477b3adbc0a714c1ea5538d61dd0840e331ed74563ce
|
| 3 |
+
size 5240
|