OTel-2.0-LLM-31B-IT-QLoRA
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
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Deep dive
Notes, sources, and the full write-up
Frequently asked
Quick answers to common questions
How much VRAM does OTel-2.0-LLM-31B-IT-QLoRA need?
OTel-2.0-LLM-31B-IT-QLoRA with 31.3B parameters needs approximately 18 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is OTel-2.0-LLM-31B-IT-QLoRA better than other farbodtavakkoli models?
OTel-2.0-LLM-31B-IT-QLoRA has 31.3B parameters with 8,192 context - a strong choice for general use.
What license is OTel-2.0-LLM-31B-IT-QLoRA under?
OTel-2.0-LLM-31B-IT-QLoRA is released under the apache-2.0 license, making it suitable for most commercial and personal projects.
What hardware runs OTel-2.0-LLM-31B-IT-QLoRA well?
With 31.3B parameters, OTel-2.0-LLM-31B-IT-QLoRA requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for OTel-2.0-LLM-31B-IT-QLoRA?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~22 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with OTel-2.0-LLM-31B-IT-QLoRA?
OTel-2.0-LLM-31B-IT-QLoRA competes with other 16B–47B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec