shing3232/Sakura-1.5B-Qwen2.5-v1.0-GGUF-IMX
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tencent/Tencent-Hunyuan-Large:这个模型得什么配置能运行起来啊
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shing3232/Sakura-1.5B-Qwen2.5-v1.0-GGUF-IMX
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这个模型得什么配置能运行起来啊
3
#13 opened about 2 months ago
by
demo001s
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about 2 months ago
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6 months ago
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7 months ago
CUDA运行不了BF16模型？
2
#1 opened 7 months ago
by
NeuronAstate
Please post f16 quantization.
8
#1 opened 7 months ago
by
ZeroWw
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8 months ago
What are the diffences of this with Qwen/CodeQwen1.5-7B
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#5 opened 8 months ago
by
Kalemnor
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9 months ago
请问这个版本GPU内存消耗28G与14B对比如何?
7
#7 opened 9 months ago
by
william0014
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9 months ago
How is the inference so fast in this free hardware space?
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#1 opened 9 months ago
by
mahiatlinux
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9 months ago
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9 months ago
Would there a chance Jamba to be train in 1.58bit weight?
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#22 opened 9 months ago
by
shing3232
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merve's
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9 months ago
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LLaVA-NeXT is recently merged to Hugging Face transformers and it outperforms many of the closed source models like Gemini on various benchmarks 🤩 Let's take a look!
Demo: merve/llava-next
Notebook: https://colab.research.google.com/drive/1afNudu72SNWZCYtCVrRlb9T9Vj9CFJEK?usp=sharing
LLaVA is essentially a vision-language model that consists of ViT-based CLIP encoder, a MLP projection and Vicuna as decoder ✨
LLaVA 1.5 was released with Vicuna, but LLaVA NeXT (1.6) is released with four different LLMs:
- Nous-Hermes-Yi-34B
- Mistral-7B
- Vicuna 7B & 13B
Mistral and Nous-Hermes-Yi-34B are performing better and have better commercial use.
Moreover, according to authors' findings, the improvements comes from more diverse and high quality data mixture and dynamic high resolution.
LLaVA based on Nous-Hermes-Yi-34B outperforms many other models, including Gemini in various multimodal understanding and generation benchmarks 😊
Demo: merve/llava-next
Notebook: https://colab.research.google.com/drive/1afNudu72SNWZCYtCVrRlb9T9Vj9CFJEK?usp=sharing
LLaVA is essentially a vision-language model that consists of ViT-based CLIP encoder, a MLP projection and Vicuna as decoder ✨
LLaVA 1.5 was released with Vicuna, but LLaVA NeXT (1.6) is released with four different LLMs:
- Nous-Hermes-Yi-34B
- Mistral-7B
- Vicuna 7B & 13B
Mistral and Nous-Hermes-Yi-34B are performing better and have better commercial use.
Moreover, according to authors' findings, the improvements comes from more diverse and high quality data mixture and dynamic high resolution.
LLaVA based on Nous-Hermes-Yi-34B outperforms many other models, including Gemini in various multimodal understanding and generation benchmarks 😊
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