Initial model upload
Browse filesFirst commit: LoRA adapter weights and tokenizer files
- README.md +75 -3
- adapter_config.json +43 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +40 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +89 -0
- training_args.bin +3 -0
README.md
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---
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---
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language:
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- en
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license: apache-2.0
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base_model: codellama/CodeLlama-7b-hf
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tags:
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- code
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- python
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- codellama
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- qlora
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- unsloth
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datasets:
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- custom
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pipeline_tag: text-generation
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---
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# CodeLlama 7B Python AI Assistant (QLoRA)
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Fine-tuned CodeLlama-7B model specialized for Python programming assistance using QLoRA (Quantized Low-Rank Adaptation).
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## Model Description
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- **Base Model:** [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf)
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- **Fine-tuning Method:** QLoRA (4-bit quantization with LoRA adapters)
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- **Framework:** Unsloth + Transformers
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- **Training Data:** Custom Python programming examples
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## Usage
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This repository contains **LoRA adapters only**. To use, merge the adapters with the base model.
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from unsloth import FastLanguageModel
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name="pranav-pvnn/codellama-7b-python-ai-assistant",
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max_seq_length=2048,
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load_in_4bit=True,
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)
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prompt = "### Instruction:\nWrite a Python function to calculate factorial.\n### Response:\n"
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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outputs = model.generate(**inputs, max_new_tokens=256)
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print(tokenizer.decode(outputs, skip_special_tokens=True))
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## Training Details
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- **Quantization:** 4-bit
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- **LoRA Rank:** 64
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- **Learning Rate:** 2e-4
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- **Epochs:** 4
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- **Max Seq Length:** 2048
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- **GPU:** NVIDIA Tesla T4
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## Limitations
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- Requires base model for inference.
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- Optimized for Python code generation.
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- Trained on custom dataset (~2,000 examples).
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## Citation
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@misc{codellama-7b-python-assistant,
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author = {pranav-pvnn},
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title = {CodeLlama 7B Python AI Assistant},
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year = {2025},
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publisher = {HuggingFace},
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howpublished = {\url{https://huggingface.co/pranav-pvnn/codellama-7b-python-ai-assistant}}
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}
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## Acknowledgements
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- Base Model: [Meta's CodeLlama](https://huggingface.co/codellama/CodeLlama-7b-hf)
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- Training Framework: [Unsloth](https://github.com/unslothai/unsloth)
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- Quantization: [bitsandbytes](https://github.com/TimDettmers/bitsandbytes)
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- LoRA: [PEFT](https://github.com/huggingface/peft)
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/codellama-7b-bnb-4bit",
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"bias": "none",
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"corda_config": null,
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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": 0.1,
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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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"qalora_group_size": 16,
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"o_proj",
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"up_proj",
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"down_proj",
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"v_proj",
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"lm_head",
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"q_proj",
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"gate_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1cea4e6f1fb7c2320b0eabac53fa0c84adcab7b43e81ee92162334bc441b72f5
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size 1173487432
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>",
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>"
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],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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size 500058
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32007": {
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"content": "β<PRE>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32008": {
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"content": "β<SUF>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32009": {
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"content": "β<MID>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"32010": {
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"content": "β<EOT>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>",
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>"
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],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"eot_token": "β<EOT>",
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"extra_special_tokens": {},
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"fill_token": "<FILL_ME>",
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"legacy": null,
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"middle_token": "β<MID>",
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"model_max_length": 16384,
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"pad_token": "<unk>",
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"padding_side": "left",
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"prefix_token": "β<PRE>",
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"sp_model_kwargs": {},
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"suffix_token": "β<SUF>",
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"tokenizer_class": "CodeLlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:20af52d7015032a985f82985586bbd1becf6523f3f285d9d03ffe5862265b006
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size 5905
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