farbodtavakkoli/OTel-2.0-LLM-31B-IT
text-generation model by farbodtavakkoli
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Model card & documentation
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OTel-2.0-LLM-31B-IT is a telecom-specialized instruction model post-trained from Gemma 4 31B-IT on approximately 440 billion telecom training tokens. It is the first release in the OTel 2.0 family and is designed to support telco-grade AI workflows across network operations, standards interpretation, product development, network configuration assistance, RAG, and telecom-specific question answering. OTel 2.0 extends the original OTel effort from a RAG-oriented telecom fine-tuning release into a larger domain-adapted training program. The model was trained from a much larger standards and telecom corpus, with new data preparation coverage for direct telecom QnA, abstention, RAG, base-model-style telecom data, and general-purpose instruction-following and tool-calling examples. The current training mixture does not include telecommunications-specific MCP, tool-calling, or instruction-following examples. This repository contains the OTel 2.0 OSFT checkpoint. Its weights may be updated as model development continues. Use a pinned model revision, checkpoint hash, or release tag for reproducible evaluation and production deployment. Repository format:…
Read the full model card ↗ · Preview checked 2026-10-28T18:23:10.091Z
Inside the original model card — Document outline
- OTel-2.0-LLM-31B-IT
- Release Status
- Model Details
- Model Lineage
- OSFT Training Details
- What Changed From OTel 1.0
- Training Data
- Data Preparation Capabilities
- Intended Use
- Not a Retrieval or Reranking Model
- Serving with vLLM
- 0. Quick start
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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
farbodtavakkoli/OTel-2.0-LLM-31B-IT is a text-generation model repository published by farbodtavakkoli on Hugging Face. The source reports the transformers library.
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
- transformers
- Recent downloads (30 days)
- 966,336
- Cumulative likes
- 26
- Hugging Face trending score
- 4
- Reported safetensors parameters
- 31,273,088,876
- Architecture
- Gemma4ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-07-23T11:27:39.000Z
- Last modified
- 2026-10-06T07:34:02.000Z
Compatibility and lineage
Reported languages: en
Reported base models: google/gemma-4-31b-it
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 2026-10-13T06:42:00.069Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.