farbodtavakkoli / text-generation updated 2 days ago

OTel-2.0-LLM-31B-IT

Name: OTel-2.0-LLM-31B-IT
Author: farbodtavakkoli

> Checkpoint update notice: The current checkpoint is expected to be updated within the next few hours. After that initial refresh, OTel 2.0 checkpoints are expected to continue receiving weekly weight updates. For reproducible evaluation or production deployment, pin a specific model revision, checkpoint hash, or release tag.

Params

32.1 B

Context

262,144

Downloads 30d

3.3 M

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 7 days

3.3 M1.8 M

Jul 31Aug 2Aug 4Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	64.2 GB	76.0 GB	❌ Won’t fit
model.safetensors (bf16, full)	bf16 + 256K ctx	64.2 GB	225.3 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/otel-2-0-llm-31b-it
{
  "hf_id": "farbodtavakkoli/OTel-2.0-LLM-31B-IT",
  "params_b": 32.11,
  "context_length": 262144,
  "license": { "id": "apache-2.0", "commercial": "yes" },
  "downloads_30d": 3250998,
  "vram_estimates": [
    { "quant": "bf16", "gb": 76.0 }
  ],
  "updated_at": "2026-08-04T01:00:08Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Parameters: 32.1 B
Tensor type: BF16
Context length: 262,144
Vocabulary: 262,144
Layers / heads: 60 / 32
Licence: apache-2.0
First seen on the Hub: 2026-07-23
Base model: gemma-4-31B-it
Training datasets: undisclosed
Added to our catalog: 2026-07-31

Family

Base model and the most-downloaded derivatives in the catalog.

Base gemma-4-31B-it google 11.9 M

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Appears in

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