att/OTel-LLM-8.3B-Safety
text-generation model by att
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Model card & documentation
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OTel-LLM-8.3B-Safety is a safety-tuned telecom language model full-parameter fine-tuned on OTel telecommunications data. It is part of the OTel Family of Models, an open-source initiative to build reference AI resources for the global telecommunications sector. The safety variants are auxiliary models trained to refuse when retrieved context is insufficient or off-topic. As of May 3, 2026, the released OTel models had been downloaded over 16 million times, and the Open Telco AI project had received 157+ pieces of media coverage worldwide. EssentialAI/rnj-1-instruct -> OTel-Safety full-parameter post-training -> farbodtavakkoli/OTel-LLM-8.3B-Safety This model is an auxiliary safety-tuned variant trained for abstention behavior and is not part of the 30-model core baseline table. It should be evaluated with abstention-focused metrics for the target deployment, such as correct-abstention rate on insufficient-context examples and answer quality on sufficient-context examples. The model was trained on telecom-focused data curated by 100+ domain experts. The raw corpus contained roughly…
Read the full model card ↗ · Preview checked 2026-10-27T19:25:49.886Z
Inside the original model card — Document outline
- OTel-LLM-8.3B-Safety
- Community Use
- Model Details
- Model Lineage
- OTel vs. Base Model
- Evaluation Caveats
- Training Data
- Representative Training Row
- Intended Use
- Training Recipe
- Usage
- Limitations and Responsible Use
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
att/OTel-LLM-8.3B-Safety is a text-generation model repository published by att on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Gemma3ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-23T06:12:58.000Z
- Last modified
- 2026-10-23T06:14:11.000Z
Compatibility and lineage
Reported languages: en
Reported base models: EssentialAI/rnj-1-instruct
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-23T06:46:00.441Z. Daily imports are snapshots, not real-time monitoring.
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