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Building on HF
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Naman Vats
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๐ฎ๐ณ Qwen3-4B Hindi Instruct v2 โ 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 โ so I fine-tuned Qwen3-4B on 10K Hindi instruction pairs and shipped it with a full GGUF quant ladder. โ Fine-tune (16-bit): huggingface.co/pankajpandey-dev/Qwen3-4B-Hindi-Instruct-v2 โ 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 โ fits comfortably on a laptop, CPU or GPU. Part of my Hindi LLM Series โ building openly-licensed Indic models for local and edge use. More coming (Gemma next). Feedback welcome ๐ #Hindi #IndicNLP #GGUF #LocalLLM #Qwen
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namanvats/mistral-7b-fine-tuned-alpaca-merged-8bit-demo-v3
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Mar 20
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