Qwen
Qwen3-TTS-12Hz-1.7B-Base
1.9B parameters · Base · Qwen3 family
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Request this model on the boardRecommended download
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Default pick: safetensors · BF16 — BF16 source weights (official Qwen3-TTS-12Hz-1.7B-Base) — reference TTS artifact. GGUF community-only; safetensors is the universal format (Transformers/vLLM). Bundles speech_tokenizer codec (+682MB) + tokenizer/config.
We don't have architecture data for this model, so we can't estimate whether it fits your hardware.
| Format | Level | Size | Verdict | Est. speed | Quality note | Swarm | Download |
|---|---|---|---|---|---|---|---|
| safetensors | BF16 | 3.59 GB | Set your rig | — | BF16 source weights (official Qwen3-TTS-12Hz-1.7B-Base) — reference TTS artifact. GGUF community-only; safetensors is the universal format (Transformers/vLLM). Bundles speech_tokenizer codec (+682MB) + tokenizer/config. | — | Not yet available |
safetensors · BF16
3.59 GB
- Est. speed
- —
- Swarm
- —
BF16 source weights (official Qwen3-TTS-12Hz-1.7B-Base) — reference TTS artifact. GGUF community-only; safetensors is the universal format (Transformers/vLLM). Bundles speech_tokenizer codec (+682MB) + tokenizer/config.
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Run it
Context / KV 8,192 tokens · FP16 set above the quant table
Generic commands. We don't have architecture data for this model, so we can't estimate whether it fits your hardware.
llama.cpp loads GGUF files only; this quant is a safetensors build.
Safetensors weights run under vLLM or transformers; a GGUF conversion, if one exists, is a separate quant row.
Ollama runs GGUF builds only; this quant is a safetensors build.
Safetensors weights run under vLLM or transformers; a GGUF conversion, if one exists, is a separate quant row.
vllm serve Qwen/Qwen3-TTS-12Hz-1.7B-Base --max-model-len 8192Serves on http://localhost:8000/v1 by default.
pip install transformers accelerate torchfrom transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "Qwen/Qwen3-TTS-12Hz-1.7B-Base"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
dtype="auto",
device_map="auto",
)Loads the weights straight from the repo; point model_id at a local directory to use your downloaded copy.
LM Studio loads GGUF (and MLX on Apple Silicon) only; this quant is a safetensors build.
Safetensors weights run under vLLM or transformers; a GGUF conversion, if one exists, is a separate quant row.
MLX runs MLX-format weights only (Apple Silicon). This quant is a safetensors build.
Safetensors weights run under vLLM or transformers; a GGUF conversion, if one exists, is a separate quant row.
Technical details
Sampling defaults
- top_k
- 50
- top_p
- 1
- temperature
- 0.9
- repetition_penalty
- 1.05
Stop strings
<|im_end|>
Evidence & provenance
Source
- Revision pin
-
fd4b254389122332181a7c3db7f27e918eec64e3 - Manifest
- None
License
- Name
- apache-2.0
- Commercial use
- yes
- Access
- Open
File hashes (SHA-256)
No file hashes recorded yet.
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