What are the hardware requirements for Depression Turtle?

Depression Turtle requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Depression Turtle and how large is it?

Depression Turtle is developed by GazTrab, a model with 8b 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 Depression Turtle?

Depression Turtle is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Depression Turtle by GazTrab — VRAM 0.2GB

Name: Depression Turtle
Author: GazTrab

Depression Turtle is an open-source language model by GazTrab. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Base model:nousresearch/hermes... Base model:quantized:nousresea... Conversational En Endpoints compatible Gguf Llama Lora Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/GazTrab/depression_turtle

Depression Turtle Parameters and Internals

Model Type

text-generation-inference, transformers

Training Details

Methodology:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Depression Turtle
Repository 🤗	https://huggingface.co/GazTrab/depression_turtle
Base Model(s)	Hermes 2 Theta Llama 3 8B NousResearch/Hermes-2-Theta-Llama-3-8B
Model Size	8b
Required VRAM	0.2 GB
Updated	2026-07-30
Maintainer	GazTrab
Model Files	0.2 GB 8.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|v_proj\|o_proj\|q_proj\|gate_proj\|down_proj\|k_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Depression Turtle 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

Best Alternatives to Depression Turtle

Best Alternatives	Context / RAM	Downloads	Likes
...lama 3.1 8B Roleplay BSNL Gguf	0K / 4.9 GB	973	11
...ma 3.1 8B Roleplay Airtel Gguf	0K / 4.9 GB	658	8
Llama 3.1 8B Roleplay Jio Gguf	0K / 4.9 GB	123	5
Llama 3.1 8B Rp Tadashinu Gguf	0K / 4.9 GB	57	7
Llama 3.1 8B OneLastStory Gguf	0K / 4.9 GB	43	5
...B Instruct Bnb 4bit 24 1 100 1	0K / 16.1 GB	59	0
CleverBoi Llama 3.1 8B V2	0K / 16.1 GB	800	0
...leverBoi Llama 3.1 8B Instruct	0K / 0.2 GB	866	1
Meta Llama 3 8B Instruct GGUF	0K / 2 GB	96368	103
...ma 3 8B Instruct 32K V0.1 GGUF	0K / 2 GB	81087	59

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