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+ ---
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+ library_name: peft
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+ base_model: sujitvasanth/TheBloke-openchat-3.5-0106-GPTQ
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Finetuned version of openchat for extracting information from a database json object. -->
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+ ## Model Details
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+
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+ ### Model Description
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+ <!-- Finetuned version of openchat for extracting information from a database json object. It is train -->
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+ - **Developed by:** Dr Sujit Vasanth
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+ - **Model type:** QLoRA PEFT
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+ - **Language(s) (NLP):** Json, English
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** TheBloke/openchat-3.5-0106-GPTQ
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+
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+ ### Model Sources [optional]
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+
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+ - **Repository:** https://github.com/sujitvasanth/GPTQ-finetune
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+ - **Demo [optional]:** https://github.com/sujitvasanth/GPTQ-finetune/blob/main/GPTQ-finetune.py
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+
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+
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+ ## How to Get Started with the Model
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+ model = AutoModelForCausalLM.from_pretrained(model_id,
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+ quantization_config= GPTQConfig(bits=4, disable_exllama=False),device_map="auto") # is_trainable=True
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ tokenizer.pad_token = tokenizer.eos_token
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+ model.load_adapter(adapter_id)
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+
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- https://huggingface.co/datasets/sujitvasanth/jsonsearch2 -->
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+ https://huggingface.co/datasets/sujitvasanth/jsonsearch2
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+ User: Assistant examples of Json search Query
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+
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+ ### Training Procedure
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+
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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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+ QLora PEFT training on custom dataset
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+
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+ #### Preprocessing [optional]
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+
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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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+
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+ #### Speeds, Sizes, Times [optional]
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+
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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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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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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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+ #### 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 0.8.2