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Model: DrNicefellow/WorryFree_GeneralQA_Chat_Mixtral-8x7B-v1 Source: Original Platform
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---
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license: apache-2.0
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datasets:
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- DrNicefellow/Quality_WorryFree_GeneralQA_Chat_Dataset-v1
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---
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# WorryFree_GeneralQA_Chat_Mixtral-8x7B-v1
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## Description
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WorryFree_GeneralQA_Chat_Mixtral-8x7B-v1 is a chat language model fine-tuned on the Quality_WorryFree_GeneralQA_Chat_Dataset-v1 dataset using the QLoRA technique. Originally based on the [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) model, this version is specifically optimized for diverse and comprehensive chat applications.
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## Model Details
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- **Base Model**: [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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- **Fine-tuning Technique**: QLoRA (Quantum Logic-based Reasoning Approach)
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- **Dataset**: [DrNicefellow/Quality_WorryFree_GeneralQA_Chat_Dataset-v1](https://huggingface.co/datasets/DrNicefellow/Quality_WorryFree_GeneralQA_Chat_Dataset-v1)
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- **Tool Used for Fine-tuning**: [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)
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## Features
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- Enhanced understanding and generation of conversational language.
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- Improved performance in diverse chat scenarios, including casual, formal, and domain-specific conversations.
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- Fine-tuned to maintain context and coherence over longer dialogues.
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## Prompt Format
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Vicuna 1.1
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See the finetuning dataset for examples.
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## License
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This model is open-sourced under the Apache 2.0 License. See the LICENSE file for more details.
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## Feeling Generous? 😊
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Eager to buy me a cup of 2$ coffe or iced tea?🍵☕ Sure, here is the link: [https://ko-fi.com/drnicefellow](https://ko-fi.com/drnicefellow). Please add a note on which one you want me to drink?
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config.json
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{
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"_name_or_path": "/workspace/text-generation-webui2/models/mistralai_Mixtral-8x7B-v0.1",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"transformers_version": "4.37.2",
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"vocab_size": 32000
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}
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"transformers_version": "4.37.2"
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}
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