4-bit 4bit Base model:adapter:unsloth/lla... Base model:unsloth/llama-2-7b-... Bitsandbytes Conversational Dataset:hermeschen1116/daily d... En Llama Peft Quantized Region:us Safetensors Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/hermeschen1116/response_generator_for_emotion_chat_bot
Response Generator For Emotion Chat Bot Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Response Generator For Emotion Chat Bot Parameters and Internals
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | Response Generator For Emotion Chat Bot |
| Repository 🤗 | https://huggingface.co/hermeschen1116/response_generator_for_emotion_chat_bot |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 3.9 GB |
| Updated | 2024-12-22 |
| Maintainer | hermeschen1116 |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.42.4 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 32005 |
| PEFT Type | LORA |
| PEFT Target Modules | up_proj|v_proj|o_proj|down_proj|k_proj|q_proj|gate_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 8 |
| Torch Data Type | bfloat16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217