What are the hardware requirements for Response Generator For Emotion Chat Bot?

Response Generator For Emotion Chat Bot requires approximately 3.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Response Generator For Emotion Chat Bot and how large is it?

Response Generator For Emotion Chat Bot is developed by hermeschen1116, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Response Generator For Emotion Chat Bot?

Response Generator For Emotion Chat Bot is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Response Generator For Emotion Chat Bot by hermeschen1116 — VRAM 3.9GB, 4K context

Name: Response Generator For Emotion Chat Bot
Author: hermeschen1116

Response Generator For Emotion Chat Bot is an open-source language model by hermeschen1116. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

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 Parameters and Internals

Model Type

text-generation

Additional Notes

Training procedure included the use of LoRA with specific hyperparameters

Supported Languages

en (proficient)

Training Details

Data Sources:

hermeschen1116/daily_dialog_for_RG

Methodology:

fine-tuning

LLM Name	Response Generator For Emotion Chat Bot
Repository 🤗	https://huggingface.co/hermeschen1116/response_generator_for_emotion_chat_bot
Base Model(s)	Llama 2 7B Bnb 4bit unsloth/llama-2-7b-bnb-4bit
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-05-31
Maintainer	hermeschen1116
Model Type	llama
Model Files	3.9 GB
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

Rank the Response Generator For Emotion Chat Bot capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Smaugv0.1 4.0bpw H6 EXL2	195K / 18 GB	4	1
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Mistral 7B Openplatypus 1K	32K / 29 GB	1814	0
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...rnlm2 20B Llama 4.0bpw H6 EXL2	32K / 11 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than hermeschen1116/response_generator_for_emotion_chat_bot.