arcflare_
[ lib ]// 97 models · 37 labs

Models.

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16 results · “multilingual”

kitten-tts-2

KittenML

Audio

Kitten TTS 2: a 1.7B speech model that clones a voice from 5-30 seconds of audio, with 47 built-in voices, emotion tags and a 0.95 GB ternary download that runs on the CPU too.

size
1.7B
vram
~4 GB
license
Stellon Labs Community

17% of a 24 GB card

#tts #speech #voice-cloning

voxcpm2

OpenBMB

Audio

VoxCPM2: the highest-quality model here, with 48 kHz output in 30 languages. It wants a CUDA GPU.

size
2B
vram
~8 GB
license
Apache-2.0

33% of a 24 GB card

#tts #speech #high-quality

qwen3-tts

Alibaba Qwen

Audio

Qwen3-TTS: Qwen's open speech model. Preset voices, 10 languages, tone control from a text instruction, and a variant that clones a voice from 3 seconds of audio.

size
1.7B
vram
~6 GB
license
Apache-2.0

25% of a 24 GB card

#tts #speech #multilingual

smollm3

Hugging Face

Chat

SmolLM3 3B: a fully open small model with switchable reasoning, multilingual output and long context. Its training recipe is published too.

size
3B
vram
~2.5 GB
license
Apache-2.0

10% of a 24 GB card

#small #reasoning #multilingual

qwen3-embedding

Alibaba Qwen

Embedding

Qwen3-Embedding: multilingual text and code embeddings at 0.6B, 4B and 8B, near the top of the MTEB leaderboard.

size
0.6B
vram
~1 GB
license
Apache-2.0

4% of a 24 GB card

#embedding #retrieval #multilingual

qwen3

Alibaba Qwen

Chat

Qwen3 runs from 0.6B to 235B, dense and MoE, with thinking and non-thinking modes in one model. Apache-2.0 across the board.

size
8B
vram
~6 GB
license
Apache-2.0

25% of a 24 GB card

#chat #reasoning #tools

chatterbox

Resemble AI

Audio

Chatterbox: clones a voice from a few seconds of audio, with 23 languages in its multilingual model. MIT.

size
0.5B
vram
~4 GB
license
MIT

17% of a 24 GB card

#tts #speech #voice-cloning

gemma3

Google

Vision

Gemma 3: 1B to 27B, with image understanding from 4B up, 128K context and 140+ languages.

size
12B
vram
~9 GB
license
Gemma

38% of a 24 GB card

#vision #chat #multilingual

nomic-embed-text-v2-moe

Nomic AI

Embedding

Multilingual mixture-of-experts text embedding model (475M total, 305M active) supporting about 100 languages with Matryoshka embeddings.

size
475M
vram
~2 GB
license
Apache-2.0

8% of a 24 GB card

#embedding #small

llama3.3-70b

Meta

Chat

Meta's 70B multilingual instruction-tuned text model with 128k context, optimized for multilingual dialogue use cases.

size
70B
vram
~44 GB
license
Llama 3.3 Community

1.8× a 24 GB card

#chat #instruct #large

whisper

OpenAI

Audio

Whisper — a robust multilingual speech-to-text model for transcription and translation.

size
1.5B
vram
~6 GB
license
MIT

25% of a 24 GB card

#audio #speech #transcription

llama3.2

Meta

Chat

Meta's 3B multilingual instruction-tuned text model, optimized for dialogue, agentic retrieval and summarization tasks.

size
3B
vram
~3 GB
license
Llama 3.2 Community

13% of a 24 GB card

#chat #instruct #small

llama3.2-1b

Meta

Chat

Meta's 1B multilingual instruction-tuned text model, optimized for dialogue, agentic retrieval and summarization tasks.

size
1B
vram
~2 GB
license
Llama 3.2 Community

8% of a 24 GB card

#chat #instruct #small

llama3.1

Meta

Chat

Meta's 8B multilingual instruction-tuned text model with 128k context, optimized for assistant-like chat.

size
8B
vram
~6 GB
license
Llama 3.1 Community

25% of a 24 GB card

#chat #instruct

mistral-nemo-12b

Mistral AI / NVIDIA

Chat

12B instruct model trained jointly by Mistral AI and NVIDIA with a 128k context window on multilingual and code data.

size
12B
vram
~9 GB
license
Apache-2.0

38% of a 24 GB card

#chat #instruct

bge-m3

BAAI

Embedding

Multi-functionality, multilingual (100+ languages) and multi-granularity embedding model handling inputs up to 8192 tokens.

size
568M
vram
~2 GB
license
MIT

8% of a 24 GB card

#embedding #small