LLAMA 3.2 3B
Great general-purpose performance
Strong general-purpose LLM that will accomplish most tasks for general business users.
- 4-bit quantisation
- 3 GB+ vRAM
- Runs on 2025 Intel iGPU / ≈2022+ dedicated GPU
- Model details
LLAMA 3.2 3B – 32K
High context window edition
Same speed & quality as the standard 3B but with a 32,000-token window.
- 4-bit quantisation
- 5 GB+ vRAM
- Runs on 2025 Intel iGPU / ≈2022+ dedicated GPU
- Model details
LLAMA 3.2 1B
Ultra-small, ultra-fast
Great for old devices.
- 4-bit quantisation
- 2 GB+ vRAM
- Runs on 2024 Intel iGPU / older dedicated GPU
- Model details
DeepSeek R1 Distill 8B
LLAMA 3.1 distilled
Decent reasoning ability with modest hardware.
- 4-bit quantisation
- 5 GB+ vRAM
- Runs on 2025 Intel iGPU / ≈2022+ dedicated GPU
- Model details
Tiger Gemma 9B
Google Gemma base – uncensored
Uncensored version of Google's Gemma model with good reasoning capabilities.
- 4-bit quantisation
- 5 GB+ vRAM
- Runs on 2025 Intel iGPU / ≈2022+ dedicated GPU
- Model details
Jina Embeddings V2
Vector search embeddings model
Light-weight model for high-quality text embeddings.
- Uses CPU and normal Memory
- Model details
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