Text Generation
Transformers
Safetensors
PEFT
English
reasoning
evidence-grounding
grounded-qa
attribution
fever
hotpotqa
lora
distillation
research
conversational
Instructions to use darcar0/quotebound-27b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darcar0/quotebound-27b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="darcar0/quotebound-27b") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("darcar0/quotebound-27b", device_map="auto") - PEFT
How to use darcar0/quotebound-27b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use darcar0/quotebound-27b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "darcar0/quotebound-27b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "darcar0/quotebound-27b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/darcar0/quotebound-27b
- SGLang
How to use darcar0/quotebound-27b with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "darcar0/quotebound-27b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "darcar0/quotebound-27b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "darcar0/quotebound-27b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "darcar0/quotebound-27b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use darcar0/quotebound-27b with Docker Model Runner:
docker model run hf.co/darcar0/quotebound-27b
Simplify public release surfaces around the technical note
Browse files
README.md
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*The standalone model release from Evidence-Faithful Reasoning, built on the
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Qwen 3.5 Opus Distilled 27B base.*
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Quotebound 27B is the
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right evidence units, quote them verbatim, and stop with
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`Insufficient evidence.` when the packet does not justify a claim.
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## Read next
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- [Technical brief (PDF)](./evidence_faithful_reasoning_release_brief.pdf) — short, citation-friendly summary.
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- [Technical note](./technical_note_evidence_faithful_reasoning.md) — full method, results, and discussion.
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- [Frozen benchmark progression chart](./benchmark_progression.svg)
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## Quick start
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- Datasets:
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[fever/fever](https://huggingface.co/datasets/fever/fever),
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[hotpotqa/hotpot_qa](https://huggingface.co/datasets/hotpotqa/hotpot_qa)
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- Technical brief (PDF):
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[evidence_faithful_reasoning_release_brief.pdf](./evidence_faithful_reasoning_release_brief.pdf)
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- Technical note:
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[technical_note_evidence_faithful_reasoning.md](./technical_note_evidence_faithful_reasoning.md)
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*The standalone model release from Evidence-Faithful Reasoning, built on the
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Qwen 3.5 Opus Distilled 27B base.*
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Quotebound 27B is the downloadable model release for
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Evidence-Faithful Reasoning: a LoRA adapter that turns its
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reasoning-distilled 27B base model into an evidence-first reader for
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closed packets of source text. Every answer has to land on the right
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evidence units, quote them verbatim, and stop with
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`Insufficient evidence.` when the packet does not justify a claim.
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## Read next
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- [Technical note](./technical_note_evidence_faithful_reasoning.md) — full method, results, and discussion.
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- [Frozen benchmark progression chart](./benchmark_progression.svg)
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## Quick start
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- Datasets:
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[fever/fever](https://huggingface.co/datasets/fever/fever),
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[hotpotqa/hotpot_qa](https://huggingface.co/datasets/hotpotqa/hotpot_qa)
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- Technical note:
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[technical_note_evidence_faithful_reasoning.md](./technical_note_evidence_faithful_reasoning.md)
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evidence_faithful_reasoning_release_brief.md
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- [`technical_note_evidence_faithful_reasoning.md`](./technical_note_evidence_faithful_reasoning.md)
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- [`standalone_holdout_comparison.svg`](./standalone_holdout_comparison.svg)
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## Executive summary
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## Quotebound 27B
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Quotebound 27B is the
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up across multiple evaluation surfaces beyond the held-out probe.
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| Contrastive consistency | **1.0000** |
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| Invalid / missing rate | **0.0000** |
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##
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The release has two public faces: Quotebound 27B, the standalone model that
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loads directly from Hugging Face, and a benchmark-facing hybrid stack that
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closes the last quote-faithfulness gap on the frozen held-out probe. The
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split is part of the project story, not hidden behind the fine print.
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## Intended use and boundaries
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[`standalone_holdout_comparison.svg`](./standalone_holdout_comparison.svg)
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[`benchmark_progression.svg`](./benchmark_progression.svg)
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[`project_release_arc.svg`](./project_release_arc.svg)
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- [`standalone_holdout_comparison.svg`](./standalone_holdout_comparison.svg)
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- [`benchmark_progression.svg`](./benchmark_progression.svg)
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## Executive summary
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## Quotebound 27B
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Quotebound 27B is the strongest standalone model the project produced and
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the artifact most readers will load first. It is the first standalone
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checkpoint in the project to hold up across multiple evaluation surfaces
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beyond the held-out probe.
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Fresh 36-task mixed public holdout:
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| Contrastive consistency | **1.0000** |
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| Invalid / missing rate | **0.0000** |
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## Release boundary
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The release has two public faces: Quotebound 27B, the standalone model that
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loads directly from Hugging Face, and a benchmark-facing hybrid stack that
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closes the last quote-faithfulness gap on the frozen held-out probe. The
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split is part of the project story, not hidden behind the fine print.
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The public release stops at the point where the strongest benchmark-facing
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system and the strongest standalone model were both clearly in hand. That
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keeps the package centered on finished artifacts rather than on local
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variant history.
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## Intended use and boundaries
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[`standalone_holdout_comparison.svg`](./standalone_holdout_comparison.svg)
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- Frozen benchmark progression chart:
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[`benchmark_progression.svg`](./benchmark_progression.svg)
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technical_note_evidence_faithful_reasoning.md
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project ends in two finished results from the same frame. The first is a
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hybrid system — a trained bridge checkpoint plus a packet-local quote
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normalizer — that clears every gate of the contract on the frozen
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held-out probe (`probe_v0`). The second is Quotebound 27B,
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`pilot 3`, released as a LoRA adapter on Hugging Face
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([`darcar0/quotebound-27b`](https://huggingface.co/darcar0/quotebound-27b)).
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is the benchmark-facing release; Quotebound 27B is the downloadable model
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release.
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**Keywords:** evidence-faithful reasoning, grounded QA, claim
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verification, closed-packet reasoning, abstention, attribution.
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was rerun on the protected split. Once the hybrid stack solved the
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behavior back into the model itself, evaluated entirely off the held-out
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probe. The
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Train and dev surfaces are derived from public FEVER-style
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verify-claim data, public HotpotQA-style grounded-QA data, and
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moved into the model itself, evaluated on surfaces outside the held-out
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probe?
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teacher-student distillation checkpoint published as a LoRA adapter on top
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of
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[`Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2`](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2).
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- **Internal checkpoint:**
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`outputs/sft_v1_v2_teacher_distill_pilot_v3_partialdev/checkpoint-16`
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[`darcar0/quotebound-27b`](https://huggingface.co/darcar0/quotebound-27b)
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outcome; per-metric numbers were not recorded for this surface, so it stands
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## 8.
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FEVER month/date temporal-insufficiency error. It fixed that single row but
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weakened broader behavior on the larger evaluation surfaces. The project read
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that outcome as a stop signal: further local-fix iteration was trading visible
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checkpoint. Canonical memo:
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`reports/sft_v1_v2_teacher_distill_pilot_v4_partialdev_status.md`.
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## 9. Discussion
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the held-out probe; calling it the standalone release artifact is faithful
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**Why the
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visible in the release trail.
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**Distinction held throughout.** Perfect frozen `probe_v0` belongs to the
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hybrid stack, not to the standalone adapter alone. The release ships both
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the project to hold up across multiple evaluation surfaces beyond
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`probe_v0`, and that roughly doubles raw quote-faithful behavior over
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the earlier bridge.
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5. A
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## 11. Intended use and limitations
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- final artifact memo: `reports/sft_v1_final_artifact_status.md`
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- standalone freeze memo: `reports/standalone_model_v2_freeze_memo.md`
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- fresh holdout comparison: `reports/standalone_model_v2_holdout_v1_bridge_vs_pilot3_status.md`
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- stop-signal memo: `reports/sft_v1_v2_teacher_distill_pilot_v4_partialdev_status.md`
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- release brief: `evidence_faithful_reasoning_release_brief.pdf`
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- model card: `README.md`
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- Hugging Face release: [`darcar0/quotebound-27b`](https://huggingface.co/darcar0/quotebound-27b)
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project ends in two finished results from the same frame. The first is a
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hybrid system — a trained bridge checkpoint plus a packet-local quote
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normalizer — that clears every gate of the contract on the frozen
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+
held-out probe (`probe_v0`). The second is Quotebound 27B, released as a
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+
LoRA adapter on Hugging Face
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([`darcar0/quotebound-27b`](https://huggingface.co/darcar0/quotebound-27b)).
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The hybrid system is the benchmark-facing release; Quotebound 27B is the
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downloadable model release.
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**Keywords:** evidence-faithful reasoning, grounded QA, claim
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verification, closed-packet reasoning, abstention, attribution.
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was rerun on the protected split. Once the hybrid stack solved the
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held-out probe, a teacher–student distillation cycle pushed the winning
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behavior back into the model itself, evaluated entirely off the held-out
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+
probe. The public release stops at the strongest standalone artifact that
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+
preserved the broader gains reported below.
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Train and dev surfaces are derived from public FEVER-style
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verify-claim data, public HotpotQA-style grounded-QA data, and
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moved into the model itself, evaluated on surfaces outside the held-out
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probe?
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+
That question produced Quotebound 27B, a teacher-student distillation
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+
checkpoint published as a LoRA adapter on top of
|
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[`Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2`](https://huggingface.co/Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2).
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- **Public release identity:**
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[`darcar0/quotebound-27b`](https://huggingface.co/darcar0/quotebound-27b)
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outcome; per-metric numbers were not recorded for this surface, so it stands
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as a narrative parity result rather than a table cell.
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## 8. Release boundary
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The public release centers on the two strongest finished artifacts from the
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project: the benchmark-winning hybrid stack on frozen `probe_v0`, and
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Quotebound 27B as the strongest standalone model. That boundary keeps the
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package focused on the results that held up across the evaluation surfaces
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reported here.
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## 9. Discussion
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the held-out probe; calling it the standalone release artifact is faithful
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to that evidence.
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**Why the release stops here.** The package is intentionally centered on
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the strongest benchmark-facing system and the strongest standalone model.
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That keeps the public release focused on finished results rather than on
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intermediate local variations.
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**Distinction held throughout.** Perfect frozen `probe_v0` belongs to the
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hybrid stack, not to the standalone adapter alone. The release ships both
|
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the project to hold up across multiple evaluation surfaces beyond
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`probe_v0`, and that roughly doubles raw quote-faithful behavior over
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the earlier bridge.
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+
5. A public artifact set centered on the benchmark-winning hybrid system,
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Quotebound 27B, and the technical note that explains how the two fit
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together.
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## 11. Intended use and limitations
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- final artifact memo: `reports/sft_v1_final_artifact_status.md`
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- standalone freeze memo: `reports/standalone_model_v2_freeze_memo.md`
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- fresh holdout comparison: `reports/standalone_model_v2_holdout_v1_bridge_vs_pilot3_status.md`
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- model card: `README.md`
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- technical note: `technical_note_evidence_faithful_reasoning.md`
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- Hugging Face release: [`darcar0/quotebound-27b`](https://huggingface.co/darcar0/quotebound-27b)
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