Hugging Face's logo

CyberHarem
community
Activity Feed Request to join this org

AI & ML interests

Anime Bishojo. This organization is only for waifus' datasets and loras

Recent Activity

narugo1992ย  authored a paper 8 days ago
A Large-scale Dataset for Robust Complex Anime Scene Text Detection
narugo1992ย  new activity 7 months ago
CyberHarem/makima_nikke:Model Running Help
anohaย  updated a Space about 1 year ago
CyberHarem/README
View all activity

s3nhย 
posted an update 2 days ago
view post
Post
349
Eduhelp with more empathy, based on model finetuned on
psychotheraputic preferences just landed on


Beck-8B as a base model, 13000 steps on educational dataset.
Time to go further and build more ๐Ÿฅฐ
s3nh/EduHelp_Beck_8B
Thanks to @basilic_ai for computations <3
s3nhย 
posted an update 4 days ago
view post
Post
3932
Just tried to create an educational assistant for younger people who can struggle with visualsation of 'what is this sorcery all about'.
Its first step of my spare time projects, sft on Qwen3-8B,

EduHelper is a child-friendly tutoring assistant fine-tuned from the Qwen3-8B base model using parameter-efficient fine-tuning (PEFT) with LoRA on the ajibawa-2023/Education-Young-Children dataset.

s3nh/EduHelp-8B

Glad to share my work, have a wonderful day!
  • 2 replies
ยท
Nymboย 
posted an update 4 days ago
view post
Post
1472
I've made some improvements to my custom Deep_Research tool in the Nymbo/Tools MCP server. I've added a second LLM process and it still takes less than 1 minute to complete!

The original version of my Deep_Research tool would basically dump up to 50 fetched webpages onto the Researcher model (Qwen3-235B), with only a little bit of context shown from each page.

# New "Filterer" Process

The new process includes another LLM call before the researcher process. The Filterer (also Qwen3-235B) gets the query summary and the original 50 pages with low context, and decides which pages are most relevant to the research topic. The Filterer then outputs the URLs to the relevant pages, which are then re-fetched (with more context) and sent to the Researcher.

# Researcher Context

The Researcher now gets only the relevant webpages, then begins writing the report. When testing with 50 initial results, the researcher would often end up with 10-20 results of relevant context.

It still takes less than a minute to accomplish everything, thanks entirely to Cerebras inference. It now takes about 35-45 seconds to complete once the tool is run.

It's also worth noting that both the Filterer and Researcher now are provided the current time/date before they see the content, reducing hallucinations caused by knowledge cutoffs.
narugo1992ย 
authored a paper 8 days ago
lunarfluย 
posted an update 12 days ago
view post
Post
2055
Cool stuff these past weeks on huggingface! ๐Ÿค— ๐Ÿš€ !
โ€ข ๐Ÿ“ˆTrackio, local-first W&B alternative
https://github.com/gradio-app/trackio/issues
โ€ข ๐ŸŒEmbeddingGemma, 300M-param, multilingual embeddings, on-device
https://huggingface.co/blog/embeddinggemma
โ€ข ๐Ÿ’ปOpen LLMs in VS Code (Inference Providers)
https://x.com/reach_vb/status/1966185427582497171
โ€ข ๐Ÿค–Smol2Operator GUI agents
https://huggingface.co/blog/smol2operator
โ€ข ๐Ÿ–ผ๏ธGradio visible watermarking
https://huggingface.co/blog/watermarking-with-gradio
Nymboย 
posted an update 14 days ago
view post
Post
573
I have a few Sora-2 invites - 15509N
  • 1 reply
ยท
Nymboย 
posted an update about 1 month ago
view post
Post
1034
There's now a custom Deep_Research tool in my Nymbo/Tools MCP server! TL;DR: The agent using the tools writes a summary of your requests and up to five DuckDuckGo searches (up to 50 results). Each of the webpages found in the searches are then fetched and given to our researcher (Qwen3-235B-A22B-Thinking-2507). The researcher sees the summary, searched queries, and fetched links, then writes a thorough research report. The agent using the tool provides the user with a summary of the report and a link to download research_report.txt. The researcher's instructions are similar to some leaked Perplexity sys prompts.

# Deep_Research Tool

It accomplishes everything in under a minute so it doesn't hit MCP's 60 second timeout, mostly thanks to Cerebras. The only thing required to make this work is a HF_READ_TOKEN for inference.

The Deep_Research tool could certainly be improved. It still needs some sort of mechanism for sorting URLs based on importance (I've got some ideas but I don't want it to be the responsibility of the agent using the tool). I'll probably add a second researcher to filter out the bad sources before inferencing the big researcher. I'm hellbent on keeping this all within the scope of one tool call.

# More Fetch/Web Search Improvements

The Search_DuckDuckGo tool has been further enhanced. It now allows the agent to browse through all pages of results. The results also now include published date (if detected). It also now supports every DDG search types! Default DDG search is called text, but it can also now search by news, images, videos, and books.

The Fetch_Webpage tool now specifies how much of the page has been truncated, and cursor index, allowing it to pickup where it left off without re-consuming tokens. The model can now also choose to strip CSS selectors to remove excess noise, and there's a new URL Scraper mode that only returns URLs found on the full page.

More to come soon ~
Nymboย 
posted an update about 1 month ago
view post
Post
1004
I have a few updates to my MCP server I wanna share: New Memory tool, improvements to web search & speech generation.

# Memory_Manager Tool

We now have a Memory_Manager tool. Ask ChatGPT to write all its memories verbatim, then tell gpt-oss-20b to save each one using the tool, then take them anywhere! It stores memories in a memories.json file in the repo, no external database required.

The Memory_Manager tool is currently hidden from the HF space because it's intended for local use. It's enabled by providing a HF_READ_TOKEN in the env secrets, although it doesn't actually use the key for anything. There's probably a cleaner way of ensuring memory is only used locally, I'll come back to this.

# Fetch & Websearch

The Fetch_Webpage tool has been simplified a lot. It now converts the page to Markdown and returns the page with three length settings (Brief, Standard, Full). This is a lot more reliable than the old custom extraction method.

The Search_DuckDuckGo tool has a few small improvements. The input is easier for small models to get right, and the output is more readable.

# Speech Generation

I've added the remaining voices for Kokoro-82M, it now supports all 54 voices with all accents/languages.

I also removed the 30 second cap by making sure it computes all chunks in sequence, not just the first. I've tested it on outputs that are ~10 minutes long. Do note that when used as an MCP server, the tool will timeout after 1 minute, nothing I can do about that for right now.

# Other Thoughts

Lots of MCP use cases involve manipulating media (image editing, ASR, etc.). I've avoided adding tools like this so far for two reasons:

1. Most of these solutions would require assigning it a ZeroGPU slot.
2. The current process of uploading files like images to a Gradio space is still a bit rough. It's doable but requires additional tools.

Both of these points make it a bit painful for local usage. I'm open to suggestions for other tools that rely on text.
Nymboย 
posted an update about 2 months ago
view post
Post
998
I built a general use MCP space ~ Fetch webpages, DuckDuckGo search, Python code execution, Kokoro TTS, Image Gen, Video Gen.

# Tools

1. Fetch webpage
2. Web search via DuckDuckGo (very concise, low excess context)
3. Python code executor
4. Kokoro-82M speech generation
5. Image Generation (use any model from HF Inference Providers)
6. Video Generation (use any model from HF Inference Providers)

The first four tools can be used without any API keys whatsoever. DDG search is free and the code execution and speech gen is done on CPU. Having a HF_READ_TOKEN in the env variables will show all tools. If there isn't a key present, The Image/Video Gen tools are hidden.

Nymbo/Tools
  • 1 reply
ยท
Nymboย 
posted an update 2 months ago
view post
Post
1021
Anyone using Jan-v1-4B for local MCP-based web search, I highly recommend you try out Intelligent-Internet/II-Search-4B

Very impressed with this lil guy and it deserves more downloads. It's based on the original version of Qwen3-4B but find that it questions reality way less often. Jan-v1 seems to think that everything it sees is synthetic data and constantly gaslights me
Nymboย 
posted an update 4 months ago
view post
Post
2859
Anyone know how to reset Claude web's MCP config? I connected mine when the HF MCP first released with just the default example spaces added. I added lots of other MCP spaces but Claude.ai doesn't update the available tools... "Disconnecting" the HF integration does nothing, deleting it and adding it again does nothing.

Refreshing tools works fine in VS Code because I can manually restart it in mcp.json, but claude.ai has no such option. Anyone got any ideas?
ยท
Nymboย 
posted an update 5 months ago
view post
Post
4107
Haven't seen this posted anywhere - Llama-3.3-8B-Instruct is available on the new Llama API. Is this a new model or did someone mislabel Llama-3.1-8B?
  • 1 reply
ยท
Nymboย 
posted an update 6 months ago
view post
Post
2779
PSA for anyone using Nymbo/Nymbo_Theme or Nymbo/Nymbo_Theme_5 in a Gradio space ~

Both of these themes have been updated to fix some of the long-standing inconsistencies ever since the transition to Gradio v5. Textboxes are no longer bright green and in-line code is readable now! Both themes are now visually identical across versions.

If your space is already using one of these themes, you just need to restart your space to get the latest version. No code changes needed.
narugo1992ย 
in CyberHarem/makima_nikke 7 months ago

Model Running Help

5
#1 opened 7 months ago by
Amir1387aht
not-lainย 
posted an update 7 months ago
ameerazam08ย 
posted an update 9 months ago
not-lainย 
posted an update 9 months ago
not-lainย 
posted an update 9 months ago
view post
Post
1809
we now have more than 2000 public AI models using ModelHubMixin๐Ÿค—
not-lainย 
posted an update 9 months ago
view post
Post
4154
Published a new blogpost ๐Ÿ“–
In this blogpost I have gone through the transformers' architecture emphasizing how shapes propagate throughout each layer.
๐Ÿ”— https://huggingface.co/blog/not-lain/tensor-dims
some interesting takeaways :
Lewdiculousย 
posted an update 10 months ago
view post
Post
19947
Hello fellow LLMers, just a quick notice that some of my activity will be moved into the AetherArchitectural Commuity and split with @Aetherarchio .

[here] AetherArchitectural

All activity should be visible in the left side of my profile.
  • 2 replies
ยท