What are the hardware requirements for LFM MALAYALAM TTS V0.2?

LFM MALAYALAM TTS V0.2 requires approximately 0.8 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM MALAYALAM TTS V0.2 and how large is it?

LFM MALAYALAM TTS V0.2 is developed by Praha-Labs, a model with 382.7m 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 LFM MALAYALAM TTS V0.2?

LFM MALAYALAM TTS V0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM MALAYALAM TTS V0.2 by Praha-Labs — VRAM 0.8GB, 125K context

Name: LFM MALAYALAM TTS V0.2
Author: Praha-Labs

LFM MALAYALAM TTS V0.2 is an open-source language model by Praha-Labs. Features: 382.7m LLM, VRAM: 0.8GB, Context: 125K, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:finetune:praha-labs... Base model:praha-labs/lfm-mala... Conversational En Endpoints compatible Lfm2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Praha-Labs/LFM-MALAYALAM-TTS-V0.2

LFM MALAYALAM TTS V0.2 Parameters and Internals

LLM Name	LFM MALAYALAM TTS V0.2
Repository 🤗	https://huggingface.co/Praha-Labs/LFM-MALAYALAM-TTS-V0.2
Base Model(s)	Praha-Labs/LFM-MALAYALAM-TTS-V0.2 Praha-Labs/LFM-MALAYALAM-TTS-V0.2
Model Size	382.7m
Required VRAM	0.8 GB
Updated	2026-08-06
Maintainer	Praha-Labs
Model Type	lfm2
Model Files	0.8 GB
Supported Languages	en
Model Architecture	Lfm2ForCausalLM
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.56.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	93100

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Best Alternatives to LFM MALAYALAM TTS V0.2

Best Alternatives	Context / RAM	Downloads	Likes
LFM MALAYALAM TTS V0.1.1	125K / 0.8 GB	8	0
VyvoTTS LFM2 Neuvillette	125K / 0 GB	12	0