Qwen3-abliterated
Collection
12 items
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Updated
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20
Fidite Nemini PRO
FiditeNemini
AI & ML interests
Prompt engineering, unalignment, MLX, model merging, diffusion models
Recent Activity
upvoted
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5 days ago
Qwen3-abliterated
liked
a Space
13 days ago
AIDC-AI/CHATS
new activity
24 days ago
FiditeNemini/Llama-3.1-Unhinged-Vision-8B-GGUF:Unable to load with 128K context buffer.
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FiditeNemini's activity
upvoted
a
collection
5 days ago
liked
a
Space
13 days ago
Unable to load with 128K context buffer.
1
#2 opened 25 days ago
by
TheBrinkster
liked
a
Space
about 1 month ago
Very very good.
❤️
8
1
#1 opened about 1 month ago
by
FiditeNemini
liked
6
models
about 1 month ago
fancyfeast/llama-joycaption-beta-one-hf-llava
Image-Text-to-Text
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62.7k
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115
mlabonne/Qwen3-0.6B-abliterated
Text Generation
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1.09k
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6
mlabonne/Qwen3-1.7B-abliterated
Text Generation
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Updated
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1.21k
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14
mlabonne/Qwen3-4B-abliterated
Text Generation
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1.21k
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13
mlabonne/Qwen3-8B-abliterated
Text Generation
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1.87k
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mlabonne/Qwen3-14B-abliterated
Text Generation
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1.74k
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36
reacted to
bartowski's
post with 👍
about 2 months ago
Post
34500
Access requests enabled for latest GLM models
While a fix is being implemented (https://github.com/ggml-org/llama.cpp/pull/12957) I want to leave the models up for visibility and continued discussion, but want to prevent accidental downloads of known broken models (even though there are settings that could fix it at runtime for now)
With this goal, I've enabled access requests. I don't really want your data, so I'm sorry that I don't think there's a way around that? But that's what I'm gonna do for now, and I'll remove the gate when a fix is up and verified and I have a chance to re-convert and quantize!
Hope you don't mind in the mean time :D
While a fix is being implemented (https://github.com/ggml-org/llama.cpp/pull/12957) I want to leave the models up for visibility and continued discussion, but want to prevent accidental downloads of known broken models (even though there are settings that could fix it at runtime for now)
With this goal, I've enabled access requests. I don't really want your data, so I'm sorry that I don't think there's a way around that? But that's what I'm gonna do for now, and I'll remove the gate when a fix is up and verified and I have a chance to re-convert and quantize!
Hope you don't mind in the mean time :D
- 1 reply
liked
a
model
2 months ago
reacted to
merterbak's
post with 🔥
2 months ago
Post
3025
Meta has unveiled its Llama 4 🦙 family of models, featuring native multimodality and mixture-of-experts architecture. Two model families are available now:
Models🤗: meta-llama/llama-4-67f0c30d9fe03840bc9d0164
Blog Post: https://ai.meta.com/blog/llama-4-multimodal-intelligence/
HF's Blog Post: https://huggingface.co/blog/llama4-release
- 🧠 Native Multimodality - Process text and images in a unified architecture
- 🔍 Mixture-of-Experts - First Llama models using MoE for incredible efficiency
- 📏 Super Long Context - Up to 10M tokens
- 🌐 Multilingual Power - Trained on 200 languages with 10x more multilingual tokens than Llama 3 (including over 100 languages with over 1 billion tokens each)
🔹 Llama 4 Scout
- 17B active parameters (109B total)
- 16 experts architecture
- 10M context window
- Fits on a single H100 GPU
- Beats Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1
🔹 Llama 4 Maverick
- 17B active parameters (400B total)
- 128 experts architecture
- It can fit perfectly on DGX H100(8x H100)
- 1M context window
- Outperforms GPT-4o and Gemini 2.0 Flash
- ELO score of 1417 on LMArena currently second best model on arena
🔹 Llama 4 Behemoth (Coming Soon)
- 288B active parameters (2T total)
- 16 experts architecture
- Teacher model for Scout and Maverick
- Outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks
Models🤗: meta-llama/llama-4-67f0c30d9fe03840bc9d0164
Blog Post: https://ai.meta.com/blog/llama-4-multimodal-intelligence/
HF's Blog Post: https://huggingface.co/blog/llama4-release
- 🧠 Native Multimodality - Process text and images in a unified architecture
- 🔍 Mixture-of-Experts - First Llama models using MoE for incredible efficiency
- 📏 Super Long Context - Up to 10M tokens
- 🌐 Multilingual Power - Trained on 200 languages with 10x more multilingual tokens than Llama 3 (including over 100 languages with over 1 billion tokens each)
🔹 Llama 4 Scout
- 17B active parameters (109B total)
- 16 experts architecture
- 10M context window
- Fits on a single H100 GPU
- Beats Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1
🔹 Llama 4 Maverick
- 17B active parameters (400B total)
- 128 experts architecture
- It can fit perfectly on DGX H100(8x H100)
- 1M context window
- Outperforms GPT-4o and Gemini 2.0 Flash
- ELO score of 1417 on LMArena currently second best model on arena
🔹 Llama 4 Behemoth (Coming Soon)
- 288B active parameters (2T total)
- 16 experts architecture
- Teacher model for Scout and Maverick
- Outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks
reacted to
clem's
post with 🔥
2 months ago
Post
2013
Llama models (arguably the most successful open AI models of all times) just represented 3% of total model downloads on Hugging Face in March.
People and media like stories of winner takes all & one model/company to rule them all but the reality is much more nuanced than this!
Kudos to all the small AI builders out there!
People and media like stories of winner takes all & one model/company to rule them all but the reality is much more nuanced than this!
Kudos to all the small AI builders out there!
- 2 replies
liked
a
model
3 months ago
liked
a
dataset
3 months ago
reacted to
mlabonne's
post with 🔥
3 months ago
Post
14644
✂️ AutoAbliteration
I made a Colab notebook to automatically abliterate models.
It's quite general, so you can do interesting stuff like blocking a given language in the model outputs.
💻 Colab: https://colab.research.google.com/drive/1RmLv-pCMBBsQGXQIM8yF-OdCNyoylUR1?usp=sharing
I made a Colab notebook to automatically abliterate models.
It's quite general, so you can do interesting stuff like blocking a given language in the model outputs.
💻 Colab: https://colab.research.google.com/drive/1RmLv-pCMBBsQGXQIM8yF-OdCNyoylUR1?usp=sharing
reacted to
AdinaY's
post with 👀
3 months ago
Post
2105
Skywork-R1V🚀 38B open multimodal reasoning model with advanced visual CoT capabilities, released by Skywork.
Skywork/Skywork-R1V-38B
✨ Visual Reasoning: Breaks down complex images step by step.
✨ Math & Science: Solves visual problems with high precision.
✨ Combines text & images for deeper understanding.
Skywork/Skywork-R1V-38B
✨ Visual Reasoning: Breaks down complex images step by step.
✨ Math & Science: Solves visual problems with high precision.
✨ Combines text & images for deeper understanding.
liked
a
model
3 months ago
