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Building on HF
81.8
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Naman Vats
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namanvats
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namanvats
namanvats
AI & ML interests
Make Open Source AI win
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🇮🇳 Qwen3-4B Hindi Instruct v2 — a Hindi LLM that runs on your own machine Most strong Hindi-capable models are either huge or cloud-only. I wanted one that's small enough to run locally but actually follows instructions in Hindi — so I fine-tuned Qwen3-4B on 10K Hindi instruction pairs and shipped it with a full GGUF quant ladder. ✅ Fine-tune (16-bit): huggingface.co/pankajpandey-dev/Qwen3-4B-Hindi-Instruct-v2 ✅ GGUF (Q4/Q5/Q8): huggingface.co/pankajpandey-dev/Qwen3-4B-Hindi-Instruct-v2-GGUF Runs in Ollama, llama.cpp, and LM Studio. The Q4_K_M is just 2.5 GB — fits comfortably on a laptop, CPU or GPU. Part of my Hindi LLM Series — building openly-licensed Indic models for local and edge use. More coming (Gemma next). Feedback welcome 🙏 #Hindi #IndicNLP #GGUF #LocalLLM #Qwen
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openai/privacy-filter
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2 months ago
deepseek-ai/DeepSeek-V4-Flash
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openai/privacy-filter
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deepseek-ai/DeepSeek-V4-Flash
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MiniMaxAI/MiniMax-M2.7
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Qwen/Qwen3.6-35B-A3B
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namanvats/harbor-goose-openhands-benchmark
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google/timesfm-2.5-200m-transformers
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meta-llama/Meta-Llama-3-70B-Instruct
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meta-llama/Meta-Llama-3-8B
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