OTel-2.0-LLM-31B-IT
farbodtavakkoliapache-2.0text

OTel-2.0-LLM-31B-IT

Updated Aug 10, 2026
Parameters
32.1B
Context
262,144
License
apache-2.0
Updated
Aug 10, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q4_K_M
1 of 4 quantizations fit OTel-2.0-LLM-31B-IT with real runtime overhead.
Q4_K_M
19 GB
Q5_K_M
23 GB
Q8_0
34 GB
FP16
64 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve farbodtavakkoli/OTel-2.0-LLM-31B-IT

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

OTel-2.0-LLM-31B-IT is a 32.1B-parameter apache-2.0 model from farbodtavakkoli. At Q4_K_M it needs roughly 19 GB of VRAM, placing it in the 12–24 GB GPU hardware tier.

Popularity

OTel-2.0-LLM-31B-IT has 2,132,062 downloads in the last month on HuggingFace and 4 likes.

Frequently asked

Quick answers to common questions

How much VRAM does OTel-2.0-LLM-31B-IT need?

OTel-2.0-LLM-31B-IT with 32.1B parameters needs approximately 19 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is OTel-2.0-LLM-31B-IT better than other farbodtavakkoli models?

OTel-2.0-LLM-31B-IT has 32.1B parameters with 262,144 context - a strong choice for general use.

What license is OTel-2.0-LLM-31B-IT under?

OTel-2.0-LLM-31B-IT 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 well?

With 32.1B parameters, OTel-2.0-LLM-31B-IT 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?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~23 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can OTel-2.0-LLM-31B-IT's context window handle?

OTel-2.0-LLM-31B-IT supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with OTel-2.0-LLM-31B-IT?

OTel-2.0-LLM-31B-IT competes with other 16B–48B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec

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