#Unsloth
45 related articles
Tutorials·3 min
4-bit QLoRA Fine-tuning LLaMA 3 in Practice: A Guide to Training 8 Billion Parameter LLMs on Consumer GPUs
Learn how to fine-tune LLaMA 3 8B on consumer GPUs using QLoRA and Unsloth. Covers 4-bit quantization, LoRA adaptation, Alpaca data format, training pipeline setup, and model deployment—runs on RTX 3090.
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Product Reviews·2 min
IBM Granite 4.1 Open-Source Models: Real-World SVG Generation Comparison Across 21 GGUF Quantization Variants
IBM releases Granite 4.1 Apache 2.0 open-source LLMs. Simon Willison tests all 21 GGUF quantization variants from Unsloth, revealing that 3B model limitations overshadow precision differences.
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Product Reviews·2 min
IBM Granite 4.1 Open-Source Models: Hands-On SVG Generation Test Across 21 Quantized Versions
IBM releases Granite 4.1 open-source LLMs (Apache 2.0). Simon Willison tests 21 GGUF quantized versions on SVG generation, revealing model size matters far more than quantization precision.
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Product Reviews·2 min
IBM Granite 4.1 Quantization Test: SVG Generation Comparison Across 21 GGUF Versions
IBM releases open-source Granite 4.1 models. Unsloth provides 21 GGUF quantized versions. Simon Willison's pelican SVG test reveals quantization level has minimal impact on 3B model output quality.
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Tutorials·3 min
Deep Dive into MYLLM: One Developer's Journey Through the Full LLM Tech Stack with a 0.5B Model
Deep dive into MYLLM, an open-source project using Qwen2.5-0.5B to cover full-stack LLM techniques including training, LoRA, SFT, distillation, RLHF, multimodal, and Agent.
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