roneneldan/TinyStories
Viewer • Updated • 2.14M • 153k • 1.23k
starloexoliz11
HalloZoolee
AI & ML interests
Programmer / University student
Trying out ML training and bizzare software engineering.
Recent Activity
liked a dataset 24 days ago
roneneldan/TinyStories reacted to BoldingBuilds's post with 🔥 24 days ago
Abliterated thinking models have a habit: they decide what to say, then keep arguing with themselves until the token budget runs out. Qwen3.8-27B Abliterated ThinkFix is an uncensored Qwen3.8-27B with one output row edited so the model closes its thinking when it's ready to answer.
On 40 sensitive prompts the edit never saw, 8k output cap: 33 replies finished cleanly instead of 22, 5 hit the limit instead of 17, 61 minutes for the set instead of 75.
Agent use was checked four ways and the edit changes nothing there. MTP draft head kept. Q4_K_M to Q8_0, each tested after the edit. The card lists what the edit was fit on and what it does not do.
https://huggingface.co/BoldingBuilds/Qwen3.8-27B-Abliterated-ThinkFix-GGUF liked a model 28 days ago
openai/gpt-oss-120bOrganizations
None yet
liked a
dataset 24 days ago
reacted to BoldingBuilds's post with 🔥 24 days ago
Post
6,162
Abliterated thinking models have a habit: they decide what to say, then keep arguing with themselves until the token budget runs out. Qwen3.8-27B Abliterated ThinkFix is an uncensored Qwen3.8-27B with one output row edited so the model closes its thinking when it's ready to answer.
On 40 sensitive prompts the edit never saw, 8k output cap: 33 replies finished cleanly instead of 22, 5 hit the limit instead of 17, 61 minutes for the set instead of 75.
Agent use was checked four ways and the edit changes nothing there. MTP draft head kept. Q4_K_M to Q8_0, each tested after the edit. The card lists what the edit was fit on and what it does not do.
BoldingBuilds/Qwen3.8-27B-Abliterated-ThinkFix-GGUF
On 40 sensitive prompts the edit never saw, 8k output cap: 33 replies finished cleanly instead of 22, 5 hit the limit instead of 17, 61 minutes for the set instead of 75.
Agent use was checked four ways and the edit changes nothing there. MTP draft head kept. Q4_K_M to Q8_0, each tested after the edit. The card lists what the edit was fit on and what it does not do.
BoldingBuilds/Qwen3.8-27B-Abliterated-ThinkFix-GGUF
- 15 replies
liked 2
models 28 days ago
updated a
collection almost 2 years ago
updated a
collection about 2 years ago
liked a
model about 2 years ago
updated a
collection over 2 years ago
liked 3
models over 2 years ago
reacted to mitkox's post with 🔥🤯 over 2 years ago
Post
2,569
I started Friday with decentralized AI using Gemma-2, and it all works without blockchain. This is what I did:
1. Pinned Gemma-2 9B in the Interplanetary Filesystem IPFS with the LoRA fine-tuning adapters.
2. Set up a llama-ipfs server to fetch and cache the model and adapters on the fly and inference locally.
Now, I can use my on device AI platform across:
• All my macOS automation workflows
• All my browsers
• My Copilot++ in VSCode
• My Open Apple Intelligence (OAI, not to be confused with the other closed OAI owned by a nonprofit foundation and BigTech)
The llama-ipfs server’s RPC support lets me decentralize inferencing across all my devices, supercharging computing and energy efficiency.
Make sure you own your AI. AI in the cloud is not aligned with you, it’s aligned with the company that owns it.
1. Pinned Gemma-2 9B in the Interplanetary Filesystem IPFS with the LoRA fine-tuning adapters.
2. Set up a llama-ipfs server to fetch and cache the model and adapters on the fly and inference locally.
Now, I can use my on device AI platform across:
• All my macOS automation workflows
• All my browsers
• My Copilot++ in VSCode
• My Open Apple Intelligence (OAI, not to be confused with the other closed OAI owned by a nonprofit foundation and BigTech)
The llama-ipfs server’s RPC support lets me decentralize inferencing across all my devices, supercharging computing and energy efficiency.
Make sure you own your AI. AI in the cloud is not aligned with you, it’s aligned with the company that owns it.
- 2 replies
updated a
collection over 2 years ago
liked 4
models over 2 years ago
