What are the hardware requirements for Deep Ft8 Grp 16bit?

Deep Ft8 Grp 16bit requires approximately 3.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deep Ft8 Grp 16bit and how large is it?

Deep Ft8 Grp 16bit is developed by CoexistAI, a model with 1.5b 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 Deep Ft8 Grp 16bit?

Deep Ft8 Grp 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deep Ft8 Grp 16bit by CoexistAI — VRAM 3.5GB, 128K context

Name: Deep Ft8 Grp 16bit
Author: CoexistAI

Deep Ft8 Grp 16bit is an open-source language model by CoexistAI. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

16bit Base model:coexistai/deep ft4 ... Base model:finetune:coexistai/... Conversational En Endpoints compatible Grpo Pytorch Quantized Qwen2 Region:us Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/CoexistAI/deep_ft8_grp_16bit

Deep Ft8 Grp 16bit Parameters and Internals

LLM Name	Deep Ft8 Grp 16bit
Repository 🤗	https://huggingface.co/CoexistAI/deep_ft8_grp_16bit
Base Model(s)	Deep Ft4 Grp 16bit CoexistAI/deep_ft4_grp_16bit
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-09-21
Maintainer	CoexistAI
Model Type	qwen2
Model Files	3.5 GB
Supported Languages	en
Quantization Type	16bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	LlamaTokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16

Rank the Deep Ft8 Grp 16bit 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

Quantized Models of the Deep Ft8 Grp 16bit

Model	Likes	Downloads	VRAM
Deep Ft9 Grp 16bit	0	6	3 GB

Best Alternatives to Deep Ft8 Grp 16bit

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 1.5B Mlx 4bit	128K / 0.9 GB	1055	26
...ill Qwen 1.5B Unsloth Bnb 4bit	128K / 1.8 GB	11066	16
Eval Model	128K / 7.1 GB	9	1
DeepSeek R1 ForumNXT	128K / 3.5 GB	8	0
Research PathfinderAI	128K / 3.5 GB	19	0
...en 1.5B Trained Alvin0616 Fork	128K / 3.5 GB	17	0
... R1 Distill Qwen 1.5B Bnb 4bit	128K / 1.6 GB	2008	11
...pSeek R1 Distill Qwen 1.5B 500	128K / 1.7 GB	6	0
Umbr0x 1.5B V3.1 16bit 2	128K / 15.2 GB	19	0
Qwen2 1.5B SFT 16bit Alpha	128K / 3.1 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than CoexistAI/deep_ft8_grp_16bit.