What are the hardware requirements for Train06?

Train06 requires approximately 9.1 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 Train06 and how large is it?

Train06 is developed by ddtsoftware, a model with 7b 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 Train06?

Train06 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Train06 by ddtsoftware — VRAM 9.1GB, 8K context

Name: Train06
Author: ddtsoftware

Train06 is an open-source language model by ddtsoftware. Features: 7b LLM, VRAM: 9.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Base model:google/gemma-7b Base model:quantized:google/ge... En Endpoints compatible Gemma Gguf Quantized Region:us Safetensors Th Unsloth

Model Card on HF 🤗: https://huggingface.co/ddtsoftware/Train06

Train06 Parameters and Internals

Model Type

text generation

Additional Notes

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

Supported Languages

en (unknown), th (unknown)

Training Details

Methodology:

Used Unsloth and Huggingface's TRL library for faster training.

LLM Name	Train06
Repository 🤗	https://huggingface.co/ddtsoftware/Train06
Base Model(s)	Gemma 7B google/gemma-7b
Model Size	7b
Required VRAM	9.1 GB
Updated	2026-07-21
Maintainer	ddtsoftware
Model Type	gemma
Model Files	9.1 GB
Supported Languages	en th
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Train06 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 Train06

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 7B It	8K / 17.1 GB	24944	1250
Gemma 7B	8K / 17.1 GB	29051	3388
Gemma 1.1 7B It GGUF	8K / 5.3 GB	52	1
Llama2 Kazakh 7B GGUF	8K / 4.1 GB	10	0
Gemma 7B	8K / 17.1 GB	39	0
Gemma 7B Translator 0.4	8K / 17.1 GB	39	0
Gemma 7B Translator 0.3	8K / 17.1 GB	36	0
Gemma7B Konosuba	8K / 17.1 GB	20	1
Gemma 7B It GGUF	8K / 5.3 GB	61	1
Gemma 7B It GGUF	8K / 3.1 GB	457	11

Note: green Score (e.g. "73.2") means that the model is better than ddtsoftware/Train06.