Qwen
Qwen2.5-Omni-7B
10.7B parameters · Base · Qwen2.5 family
Recommended download
Which version should I download?
Default pick: safetensors · BF16 — Official Qwen BF16 safetensors — full Qwen2.5-Omni-7B package (thinker+talker, audio+vision encoders, spk_dict): text/audio/image/video input + speech output. Modality-lane full-capability entry. Apache-2.0.
Set your rig to confirm it fits and to see if a higher-quality quant runs fully on your hardware.
| Format | Level | Size | Verdict | Est. speed | Quality note | Swarm | Download |
|---|---|---|---|---|---|---|---|
| safetensors | BF16 | 20.83 GB | Set your rig | — | Official Qwen BF16 safetensors — full Qwen2.5-Omni-7B package (thinker+talker, audio+vision encoders, spk_dict): text/audio/image/video input + speech output. Modality-lane full-capability entry. Apache-2.0. | 2S / 0L webseed OK |
safetensors · BF16
20.83 GB
- Est. speed
- —
- Swarm
- 2S / 0L webseed OK
Official Qwen BF16 safetensors — full Qwen2.5-Omni-7B package (thinker+talker, audio+vision encoders, spk_dict): text/audio/image/video input + speech output. Modality-lane full-capability entry. Apache-2.0.
Run it
Runtime completeness (BF16 torrent): llama.cpp – Ollama – vision sidecar –
- – llama.cpp — no GGUF artifact for this torrent
- – Ollama — not an Ollama-native artifact
- – vision sidecar — not a vision model
Context / KV 8,192 tokens · FP16 set above the quant table
Generic commands (no rig set). GPU-offload values assume the model fits on your GPU — set your rig for values tuned to your hardware.
llama-server -m qwen-qwen2-5-omni-7b-BF16.gguf -c 8192 -ngl 999
Use llama-cli in place of llama-server for a one-shot prompt.
FROM ./qwen-qwen2-5-omni-7b-BF16.gguf
PARAMETER num_ctx 8192
PARAMETER num_gpu 999
ollama create qwen-qwen2-5-omni-7b -f Modelfile
ollama run qwen-qwen2-5-omni-7b
vllm serve Qwen/Qwen2.5-Omni-7B --max-model-len 8192
Serves on http://localhost:8000/v1 by default.
Load qwen-qwen2-5-omni-7b-BF16.gguf, set the context length to 8192 tokens. Set GPU offload to Max (all layers).
Not an MLX-format quant.
MLX runs MLX-format weights only (Apple Silicon). This quant is not an MLX build.
Filename shown is a placeholder. The exact GGUF name appears once the download is available.
Technical details
No template or sampling metadata recorded.
Evidence & provenance
Source
- Provenance
- https://huggingface.co/Qwen/Qwen2.5-Omni-7B
- Revision pin
-
ae9e1690543ffd5c0221dc27f79834d0294cba00 - Manifest
- Present
License
- Name
- apache-2.0
- Commercial use
- yes
- Access
- Open
- Notes
- Authoritative upstream Qwen/Qwen2.5-Omni-7B: HF card tags license:other but license_name=apache-2.0 with license_link to the repo Apache-2.0 LICENSE (11,343 B, Qwen-flavored). Entire Qwen2.5/Qwen3 open release is Apache-2.0. Corrected other->apache-2.0 (precedent Qwen3-Omni #98).
File hashes (SHA-256)
-
qwen2-5-omni-7b/.gitattributes
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qwen2-5-omni-7b/LICENSE
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qwen2-5-omni-7b/README.md
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qwen2-5-omni-7b/added_tokens.json
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qwen2-5-omni-7b/chat_template.json
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qwen2-5-omni-7b/config.json
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qwen2-5-omni-7b/generation_config.json
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qwen2-5-omni-7b/merges.txt
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qwen2-5-omni-7b/model.safetensors.index.json
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qwen2-5-omni-7b/preprocessor_config.json
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qwen2-5-omni-7b/special_tokens_map.json
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qwen2-5-omni-7b/spk_dict.pt
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qwen2-5-omni-7b/tokenizer.json
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qwen2-5-omni-7b/tokenizer_config.json
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qwen2-5-omni-7b/vocab.json
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