Deploy CollabHaven AI Enhanced v1.0 - Serverless Ready
Browse files- README.md +116 -0
- adapter_config.json +36 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +15 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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tags:
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- music
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- collaboration
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- ai-assistant
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- collabhaven
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- audius
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- peft
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- lora
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- conversational
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library_name: transformers
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pipeline_tag: text-generation
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---
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# CollabHaven AI Enhanced v1.0
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## Model Description
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CollabHaven AI Enhanced is a specialized language model fine-tuned for music collaboration, creative assistance, and community interaction on the CollabHaven platform. Built on TinyLlama-1.1B-Chat with LoRA adapters, this model understands CollabHaven's ecosystem, Audius integration, and provides comprehensive music creation support.
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## Key Features
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🎵 **Music Creation Assistance**
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- Lyric writing and song structure guidance
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- Chord progression suggestions
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- Melody composition support
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- Beat and rhythm recommendations
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- Mixing and mastering advice
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- Sound design tips
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- Music marketing strategies
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- Artist bio creation
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🤝 **CollabHaven Platform Integration**
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- Deep understanding of CollabHaven's collaborative features
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- Audius platform relationship awareness
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- Community guidelines and culture knowledge
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- Project creation and collaboration workflows
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- Real-time collaboration support
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🎯 **Specialized Knowledge**
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- CollabHaven official website: https://collabhvn.com
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- Audius profile: https://audius.co/collabhavenr
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- AI Studio tools and capabilities
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- Music industry best practices
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- Creative workflow optimization
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## Technical Specifications
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- **Base Model**: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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- **Fine-tuning Method**: LoRA (Low-Rank Adaptation)
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- **Training Dataset**: 200 enhanced examples (185 general + 15 CollabHaven-specific)
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- **Training Steps**: 150
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- **Max Length**: 512 tokens
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- **Model Size**: ~1.1B parameters + LoRA adapters
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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from peft import PeftModel
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# Load the model
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base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0")
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model = PeftModel.from_pretrained(base_model, "collabhaven/collabhaven-ai-enhanced")
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tokenizer = AutoTokenizer.from_pretrained("collabhaven/collabhaven-ai-enhanced")
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# Generate response
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prompt = "What is CollabHaven and how can it help with music collaboration?"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=200, temperature=0.7)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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```
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## Deployment
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This model is optimized for serverless deployment and can be easily integrated into:
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- Supabase Edge Functions
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- Vercel Edge Runtime
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- AWS Lambda
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- Azure Functions
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- Google Cloud Functions
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## Training Details
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The model was fine-tuned with comprehensive CollabHaven knowledge including:
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- Platform functionality and features
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- Music creation workflows
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- Community culture and guidelines
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- Audius integration details
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- AI Studio tool capabilities
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- Collaboration best practices
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## Performance
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✅ **CollabHaven Knowledge**: Comprehensive understanding
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✅ **Music Creation**: Advanced assistance capabilities
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✅ **Collaboration**: Expert guidance and workflows
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✅ **Community**: Culture-aware responses
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✅ **Technical**: Optimized for production use
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## License
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Apache 2.0
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## Contact
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For questions about CollabHaven AI:
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- Website: https://collabhvn.com
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- Audius: https://audius.co/collabhavenr
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---
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*This model is specifically designed for the CollabHaven music collaboration platform and its community.*
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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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": 24,
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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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"r": 12,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"k_proj",
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"o_proj"
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],
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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_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 sha256:7c5abda6bd50ba63928da6c88a18d3bc5b5785e86113fddf24e4d134ea68d369
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size 13540184
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chat_template.jinja
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{% for message in messages %}
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{% if message['role'] == 'user' %}
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{{ '<|user|>
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' + message['content'] + eos_token }}
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{% elif message['role'] == 'system' %}
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{{ '<|system|>
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' + message['content'] + eos_token }}
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{% elif message['role'] == 'assistant' %}
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{{ '<|assistant|>
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' + message['content'] + eos_token }}
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{% endif %}
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{% if loop.last and add_generation_prompt %}
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{{ '<|assistant|>' }}
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{% endif %}
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{% endfor %}
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special_tokens_map.json
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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": "</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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"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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See raw diff
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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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"add_prefix_space": null,
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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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},
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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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"extra_special_tokens": {},
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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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 sha256:68f64f95b655abf5200a0fb149ec99e8b0cf30a53b0efdca20187329e75fb8fd
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size 5713
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