I created list of models based on permissive license (apache2, mit, openrail) and raw fp16 weights.
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I created list of models based on permissive license (apache2, mit, openrail) and raw fp16 weights.
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LLM:
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LLM:
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- Mistral 7b v1
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- Mistral 7b v1
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- Falcon 7b
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- Falcon 7b
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- GLM4 9b
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- GLM4 9b
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- Olmo3 7b
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- Olmo3 7b
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- Yi 9b
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- Yi 9b
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- Qwen3 8b
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- Qwen3 8b
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- Internlm3 8B
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- Internlm3 8B
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- PHI4
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- PHI4
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Multimodal LLM:
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Multimodal LLM:
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- Pixtral 12b
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- Pixtral 12b
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- Qwen3-VL-8B-Instruct
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- Qwen3-VL-8B-Instruct
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Picture generation:
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Picture generation:
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- Stable Diffusion 1.5
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- Stable Diffusion 1.5
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- Stable Diffusion 2.0
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- Stable Diffusion 2.0
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- Stable Diffusion XL
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- Stable Diffusion XL
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Video generation: 
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Video generation: 
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- WAN 2.1 VACE Diffusers
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- WAN 2.1 VACE Diffusers
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TTS:
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TTS:
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- SUNO Bark
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- SUNO Bark
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This can be very useful for those who are just starting their AI LLM journey in PyTorch, like me.
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This can be very useful for those who are just starting their AI LLM journey in PyTorch, like me.
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Suggestions in the comments are welcome.
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Suggestions in the comments are welcome.
I created list of models based on permissive license (apache2, mit, openrail) and raw fp16 weights.
LLM:
- Mistral 7b v1
- Falcon 7b
- GLM4 9b
- Olmo3 7b
- Yi 9b
- Qwen3 8b
- Internlm3 8B
- PHI4
Multimodal LLM:
- Pixtral 12b
- Qwen3-VL-8B-Instruct
Picture generation:
- Stable Diffusion 1.5
- Stable Diffusion 2.0
- Stable Diffusion XL
Video generation: 
- WAN 2.1 VACE Diffusers
TTS:
- SUNO Bark

This can be very useful for those who are just starting their AI LLM journey in PyTorch, like me.
Suggestions in the comments are welcome.
👍
John6666 Reubencf Pent Discrete-Time
❤️
unmodeled-tyler hajar001