What are the hardware requirements for BehChat SFTv2 Mixed Ckpt 6?

BehChat SFTv2 Mixed Ckpt 6 requires approximately 16.4 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 BehChat SFTv2 Mixed Ckpt 6 and how large is it?

BehChat SFTv2 Mixed Ckpt 6 is developed by zypchn, 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 BehChat SFTv2 Mixed Ckpt 6?

BehChat SFTv2 Mixed Ckpt 6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BehChat SFTv2 Mixed Ckpt 6 by zypchn — VRAM 16.4GB, 128K context

Name: BehChat SFTv2 Mixed Ckpt 6
Author: zypchn

BehChat SFTv2 Mixed Ckpt 6 is an open-source language model by zypchn. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.24.

4bit Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/zypchn/BehChat-SFTv2-mixed-ckpt-6

BehChat SFTv2 Mixed Ckpt 6 Parameters and Internals

LLM Name	BehChat SFTv2 Mixed Ckpt 6
Repository 🤗	https://huggingface.co/zypchn/BehChat-SFTv2-mixed-ckpt-6
Base Model(s)	unsloth/deepseek-r1-0528-qwen3-8b-unsloth-bnb-4bit unsloth/deepseek-r1-0528-qwen3-8b-unsloth-bnb-4bit
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-08-03
Maintainer	zypchn
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the BehChat SFTv2 Mixed Ckpt 6 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 BehChat SFTv2 Mixed Ckpt 6

Best Alternatives	Context / RAM	Downloads	Likes
BehChat SFTv3 Ckpt1	128K / 16.4 GB	6	0
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 7.5 GB	4457	13
DeepSeek R1 0528 Qwen3 8B 4bit	128K / 4.6 GB	1781	6
...Seek R1 0528 Qwen3 8B Bnb 4bit	128K / 6.1 GB	923	9
Qwen3 8B LQA 14e Full	128K / 16.4 GB	6	0
...Seek R1 0528 Qwen3 8B 4bit DWQ	128K / 4.6 GB	212	8
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 16.4 GB	7	0
Annie Lite V0.2.9 Qwen3 8B	80K / 16.4 GB	5	0
Bonsai 8B Mlx 1bit	64K / 1.3 GB	9396	221
Bonsai 8B MLX Q2.25	64K / 2.3 GB	145	4

Note: green Score (e.g. "73.2") means that the model is better than zypchn/BehChat-SFTv2-mixed-ckpt-6.