What are the hardware requirements for Thai Dialogue Transalate Emotion?

Thai Dialogue Transalate Emotion 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 Thai Dialogue Transalate Emotion and how large is it?

Thai Dialogue Transalate Emotion 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 Thai Dialogue Transalate Emotion?

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

Thai Dialogue Transalate Emotion by manotham — VRAM 8.1GB, 256K context

Name: Thai Dialogue Transalate Emotion
Author: manotham

Thai Dialogue Transalate Emotion is an open-source language model by manotham. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:finetune:manotham/t... Base model:manotham/thai-dialo... Emotion-conditional En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Th Translation Unsloth

Model Card on HF 🤗: https://huggingface.co/manotham/Thai-dialogue-transalate_emotion

Thai Dialogue Transalate Emotion Parameters and Internals

LLM Name	Thai Dialogue Transalate Emotion
Repository 🤗	https://huggingface.co/manotham/Thai-dialogue-transalate_emotion
Base Model(s)	manotham/Thai-dialogue-transalate_sft_80K manotham/Thai-dialogue-transalate_sft_80K
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-16
Maintainer	manotham
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en th
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Thai Dialogue Transalate Emotion capabilities

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Best Alternatives to Thai Dialogue Transalate Emotion

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	15	0
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	384	210
Checkpoint 8000	256K / 8.1 GB	1453	0
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
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/Thai-dialogue-transalate_emotion.