What are the hardware requirements for Greesychat Turbo?

Greesychat Turbo requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Greesychat Turbo and how large is it?

Greesychat Turbo is developed by OnlyCheeini, 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 Greesychat Turbo?

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

Greesychat Turbo by OnlyCheeini — VRAM 16.1GB, 8K context

Name: Greesychat Turbo
Author: OnlyCheeini

Greesychat Turbo is an open-source language model by OnlyCheeini. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... Conversational Dataset:onlycheeini/greesychat En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/OnlyCheeini/greesychat-turbo

Greesychat Turbo Parameters and Internals

LLM Name	Greesychat Turbo
Repository 🤗	https://huggingface.co/OnlyCheeini/greesychat-turbo
Base Model(s)	Llama 3 8B Instruct Bnb 4bit unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-06
Maintainer	OnlyCheeini
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Greesychat Turbo 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 Greesychat Turbo

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1