4-bit 4bit Adapter Base model:adapter:unsloth/lla... Base model:unsloth/llama-2-7b-... Bitsandbytes Conversational Dataset:hermeschen1116/daily d... En Finetuned Llama Lora Peft Quantized Region:us Safetensors Trl Unsloth
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
| 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 | 1.6 GB |
| Updated | 2024-10-12 |
| Maintainer | hermeschen1116 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| 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 |
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| Gemma 7B Us Minecraft | 0K / 0 GB | 59 | 0 |
| Gemma7b SFT | 0K / 0 GB | 41 | 0 |
| RP Format Test | 0K / 0.7 GB | 1 | 4 |
| Synthetic Soul 1k Mistral 128 | 0K / 1.3 GB | 19 | 0 |
| Mistral Ielts Evaluation Base | 0K / 0.2 GB | 0 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than hermeschen1116/response_generator_for_emotion_chat_bot .
Rank the Response Generator For Emotion Chat Bot Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803