What are the hardware requirements for Base Th Sft Translate 4B?

Base Th Sft Translate 4B requires approximately 8.1 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 Base Th Sft Translate 4B and how large is it?

Base Th Sft Translate 4B is developed by manotham, a model with 4b 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 Base Th Sft Translate 4B?

Base Th Sft Translate 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Base Th Sft Translate 4B by manotham — VRAM 8.1GB, 256K context

Name: Base Th Sft Translate 4B
Author: manotham

Base Th Sft Translate 4B is an open-source language model by manotham. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, LLM Explorer Score: 0.23.

Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/manotham/base-th-sft-translate-4b

Base Th Sft Translate 4B Parameters and Internals

LLM Name	Base Th Sft Translate 4B
Repository 🤗	https://huggingface.co/manotham/base-th-sft-translate-4b
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-02
Maintainer	manotham
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Base Th Sft Translate 4B capabilities

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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 Base Th Sft Translate 4B

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	11	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Fable Traces	256K / 8.1 GB	338	210
Checkpoint 8000	256K / 8.1 GB	1453	0
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

Note: green Score (e.g. "73.2") means that the model is better than manotham/base-th-sft-translate-4b.