Instructions to use yakobd/tenacious-bench-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yakobd/tenacious-bench-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yakobd/tenacious-bench-adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use yakobd/tenacious-bench-adapter with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for yakobd/tenacious-bench-adapter to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for yakobd/tenacious-bench-adapter to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for yakobd/tenacious-bench-adapter to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="yakobd/tenacious-bench-adapter", max_seq_length=2048, )
| { | |
| "task_id": "TB-LLM044", | |
| "source_mode": "multi_llm_synthesis", | |
| "difficulty": "easy", | |
| "variant": "llm_generated_v2", | |
| "is_passing": true, | |
| "input": { | |
| "hiring_signal_brief": { | |
| "prospect": "Tide Engineering", | |
| "icp_classification": { | |
| "segment": 3, | |
| "segment_name": "Leadership change", | |
| "confidence": "high", | |
| "reasons": [ | |
| "New CTO from Cloudflare announced 12 days ago" | |
| ] | |
| }, | |
| "firmographics": { | |
| "company": "Tide Engineering", | |
| "website": "https://tideengineering.com", | |
| "description": "Tide Engineering \u2014 technology company", | |
| "num_employees": "51-200" | |
| }, | |
| "ai_maturity": { | |
| "ai_maturity_score": 1, | |
| "confidence": "high" | |
| }, | |
| "layoff_signal": { | |
| "layoff_detected": false | |
| }, | |
| "leadership_signal": { | |
| "leadership_change_detected": true | |
| } | |
| }, | |
| "bench_summary": { | |
| "total_engineers": 60, | |
| "available": 34, | |
| "stacks": { | |
| "python": 12, | |
| "node": 8, | |
| "ml": 6, | |
| "go": 4, | |
| "data": 4 | |
| } | |
| }, | |
| "instruction": "Write outreach for Tide Engineering \u2014 New CTO from Cloudflare announced 12 days ago", | |
| "prior_thread": [] | |
| }, | |
| "candidate_output": { | |
| "subject": "New CTO at Tide? Discuss Cloudflare Insights", | |
| "body": "Hi [First Name],\n\nCongratulations on Tide Engineering\u2019s leadership transition. Your Cloudflare background in scalable infrastructure aligns with Tide\u2019s growth trajectory.\n\n12 days into this role, opportunities to refine strategy are time-sensitive. I\u2019d welcome 15 minutes to discuss how your experience could shape Tide\u2019s technical direction.\n\nWorth 15 minutes this week? \u2192 http://localhost:3000/yakob/30min\n\nBest, \n[Name] \nResearch Partner / Tenacious Intelligence Corporation / gettenacious.com" | |
| }, | |
| "ground_truth": { | |
| "required_signals": [ | |
| "leadership", | |
| "engineering", | |
| "vendor", | |
| "mix", | |
| "new" | |
| ], | |
| "forbidden_phrases": [ | |
| "just circling back", | |
| "hope this finds you well", | |
| "just following up", | |
| "per my last email", | |
| "top talent", | |
| "world-class", | |
| "rockstar", | |
| "a-players", | |
| "ninja", | |
| "wizard", | |
| "bench", | |
| "aggressive hiring", | |
| "skyrocket", | |
| "supercharge", | |
| "synergize", | |
| "synergy", | |
| "game-changer", | |
| "disruptor", | |
| "you are missing", | |
| "falling behind", | |
| "behind the curve", | |
| "catch up", | |
| "quick question", | |
| "quick chat", | |
| "obviously", | |
| "clearly" | |
| ], | |
| "max_subject_length": 60, | |
| "must_end_with_cta": true | |
| }, | |
| "rubric": { | |
| "grounding": { | |
| "weight": 1.0, | |
| "check": "all_claims_grounded" | |
| }, | |
| "tone": { | |
| "weight": 1.0, | |
| "check": "zero_banned_phrases" | |
| }, | |
| "subject_length": { | |
| "weight": 1.0, | |
| "check": "subject_lte_60_chars" | |
| }, | |
| "cta_present": { | |
| "weight": 1.0, | |
| "check": "cta_in_last_paragraph" | |
| }, | |
| "llm_judge": { | |
| "weight": 1.0, | |
| "check": "avg_tone_marker_gte_4" | |
| } | |
| }, | |
| "metadata": { | |
| "created_at": "2026-04-29T23:07:07.416566Z", | |
| "partition": "held_out", | |
| "probe_ids": [ | |
| "P10", | |
| "P16", | |
| "P20" | |
| ], | |
| "source_trace_id": null, | |
| "judge_score": null, | |
| "expected_score": 1.0, | |
| "generator_model": "qwen/qwen3-235b-a22b" | |
| } | |
| } |