What are the hardware requirements for Ternary Bonsai 2 27B Heretic Satellite?

Ternary Bonsai 2 27B Heretic Satellite requires approximately 53.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ternary Bonsai 2 27B Heretic Satellite and how large is it?

Ternary Bonsai 2 27B Heretic Satellite is developed by HybridRMD, a model with 27b 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 Ternary Bonsai 2 27B Heretic Satellite?

Ternary Bonsai 2 27B Heretic Satellite is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ternary Bonsai 2 27B Heretic Satellite by HybridRMD — VRAM 53.9GB, 256K context

Name: Ternary Bonsai 2 27B Heretic Satellite
Author: HybridRMD

Ternary Bonsai 2 27B Heretic Satellite is an open-source language model by HybridRMD. Features: 27b LLM, VRAM: 53.9GB, Context: 256K, License: other, Quantized, LLM Explorer Score: 0.34.

Context-management Convai Conversational Endpoints compatible Gguf Knowledge-distillation Llama.cpp Q2 Quantized Qwen3 5 Qwen3 5 text Qwen3 8 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/HybridRMD/Ternary-Bonsai-2-27B-Heretic-Satellite

Ternary Bonsai 2 27B Heretic Satellite Parameters and Internals

LLM Name	Ternary Bonsai 2 27B Heretic Satellite
Repository 🤗	https://huggingface.co/HybridRMD/Ternary-Bonsai-2-27B-Heretic-Satellite
Model Size	27b
Required VRAM	53.9 GB
Updated	2026-09-30
Maintainer	HybridRMD
Model Type	qwen3_5_text
Model Files	53.8 GB 10.7 GB 16.5 GB 28.6 GB 4.2 GB: 1-of-13 4.2 GB: 2-of-13 4.2 GB: 3-of-13 4.2 GB: 4-of-13 4.2 GB: 5-of-13 4.2 GB: 6-of-13 4.2 GB: 7-of-13 4.2 GB: 8-of-13 4.2 GB: 9-of-13 4.2 GB: 10-of-13 4.2 GB: 11-of-13 4.2 GB: 12-of-13 3.5 GB: 13-of-13
GGUF Quantization	Yes
Quantization Type	q2\|gguf\|q4_k
Model Architecture	Qwen3_5ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Ternary Bonsai 2 27B Heretic Satellite 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 Ternary Bonsai 2 27B Heretic Satellite

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B OBLITERATED	256K / 83.2 GB	164950	516
JiRackDeltaNet 27b	256K / 10.9 GB	552426	1
Qwen3.8 Whittle 16B	256K / 2.4 GB	1719	1
Qwen3.8 27B OBLITERATEDpintus	256K / 83.2 GB	981	1
...onsai 27B Mlx Lossless 1.75bpw	0K / 5.9 GB	312	1
...tic Uncensored NM DAU MXFP4 1M	1024K / 0.1 GB	1502	1
...tic Uncensored NM DAU NVFP4 1M	256K / 0.8 GB	4357	2
...eretic Uncensored NM DAU NVFP4	256K / 0.1 GB	1767	2
...Heretic Abliterated Uncensored	256K / 53.9 GB	1394	0
...Uncensored Heretic Abliterated	256K / 53.8 GB	2271	2

Note: green Score (e.g. "73.2") means that the model is better than HybridRMD/Ternary-Bonsai-2-27B-Heretic-Satellite.