LocalLaws/LOCUS-v1
Viewer โข Updated โข 2.21M โข 1.96k โข 80
๐ค Open to Collab
LH-Tech AI
LH-Tech-AI
AI & ML interests
Small AI and ML models. Trained by myself. Completely OpenSource. For you. | Reddit: https://www.reddit.com/user/LH-Tech_AI/
Recent Activity
liked a dataset 4 minutes ago
LocalLaws/LOCUS-v1 liked a dataset 4 minutes ago
scholarweave/arxiv-latex liked a dataset 4 minutes ago
mlabonne/open-perfectblendOrganizations
liked 3
datasets 4 minutes ago
liked a
dataset 9 minutes ago
liked a
model about 7 hours ago
Safe/unsafe categories
1
#4 opened about 17 hours ago
by 
python-processing-unit
upvoted a collection about 24 hours ago
liked a
dataset about 24 hours ago
upvoted 2
collections 1 day ago
replied to Banaxi-Tech's post 1 day ago
Hmmm...this is a bit over half. Just keep it running and see in the end. Good luck.
Show me benchmarks and your exact config maybe ๐ค
reacted to AxionLab-official's post with โค๏ธ 1 day ago
Post
4739
โ ๏ธ Community Notice
We would like to clarify that SupraLabs has no affiliation, partnership, or connection whatsoever with "SupraLarps" or its members.
Please avoid interacting with their organization, repositories, or Spaces under the assumption that they are associated with us.
We are currently aware of the situation and have already contacted the appropriate channels to address it.
Thank you to everyone who continues to support SupraLabs. โค๏ธ
We would like to clarify that SupraLabs has no affiliation, partnership, or connection whatsoever with "SupraLarps" or its members.
Please avoid interacting with their organization, repositories, or Spaces under the assumption that they are associated with us.
We are currently aware of the situation and have already contacted the appropriate channels to address it.
Thank you to everyone who continues to support SupraLabs. โค๏ธ
- 8 replies
Report
๐ 4
8
#1 opened 2 days ago
by 
finnianx
reacted to pankajpandey-dev's post with ๐โค๏ธ๐๐ฅ 1 day ago
Post
7723
๐ฎ๐ณ New in my Hindi LLM Series: Gemma-4 E4B, fine-tuned for Hindi โ and it runs on your laptop's CPU.
I fine-tuned Google's new Gemma-4 E4B on ~10k Hindi instruction pairs (AI4Bharat: anudesh + dolly) using Unsloth + LoRA, on a single L4 GPU.
Then I ran an honest side-by-side eval: base Gemma-4 vs my fine-tune, across 25 Hindi prompts. The results were interesting ๐
โ My fine-tune is more concise โ ask for "3 tips" and it gives exactly 3. Base writes a 1,200-character essay.
โ Pure native Hindi โ base keeps slipping into English ("เคธเคเคคเฅเคฒเคฟเคค เคเคนเคพเคฐ (Eat a Balanced Diet)", "เคคเคพเคฐเคพ (Star)"). My fine-tune stays in clean Hindi.
โ Tighter instruction-following โ ask for a "short message" and it gives one, not a menu of options.
โ๏ธ And to be honest: base Gemma-4 is more detailed and comprehensive. I didn't build a "smarter" model โ I built a focused, Hindi-native, edge-friendly one that runs as a 5GB GGUF (Q4) on CPU.
๐ Try it:
Live demo (CPU): pankajpandey-dev/gemma-4-e4b-hindi-demo
GGUF (Ollama/llama.cpp): pankajpandey-dev/gemma-4-e4b-hindi-instruct-GGUF
16-bit model: pankajpandey-dev/gemma-4-e4b-hindi-instruct
Built with @unsloth ยท Data by @ai4bharat ๐
#Hindi #LLM #Gemma #Unsloth #IndicNLP #GGUF
I fine-tuned Google's new Gemma-4 E4B on ~10k Hindi instruction pairs (AI4Bharat: anudesh + dolly) using Unsloth + LoRA, on a single L4 GPU.
Then I ran an honest side-by-side eval: base Gemma-4 vs my fine-tune, across 25 Hindi prompts. The results were interesting ๐
โ My fine-tune is more concise โ ask for "3 tips" and it gives exactly 3. Base writes a 1,200-character essay.
โ Pure native Hindi โ base keeps slipping into English ("เคธเคเคคเฅเคฒเคฟเคค เคเคนเคพเคฐ (Eat a Balanced Diet)", "เคคเคพเคฐเคพ (Star)"). My fine-tune stays in clean Hindi.
โ Tighter instruction-following โ ask for a "short message" and it gives one, not a menu of options.
โ๏ธ And to be honest: base Gemma-4 is more detailed and comprehensive. I didn't build a "smarter" model โ I built a focused, Hindi-native, edge-friendly one that runs as a 5GB GGUF (Q4) on CPU.
๐ Try it:
Live demo (CPU): pankajpandey-dev/gemma-4-e4b-hindi-demo
GGUF (Ollama/llama.cpp): pankajpandey-dev/gemma-4-e4b-hindi-instruct-GGUF
16-bit model: pankajpandey-dev/gemma-4-e4b-hindi-instruct
Built with @unsloth ยท Data by @ai4bharat ๐
#Hindi #LLM #Gemma #Unsloth #IndicNLP #GGUF
- 12 replies
๐ฉ Report: Spam
8
#3 opened 2 days ago
by LH-Tech-AI
Please remove this org
19
#2 opened 2 days ago
by LH-Tech-AI