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Ttc Dense Verifier Qwen7b Rm

This public repository contains the trained reward-model adapter used as the verifier in the TTC Dense Verifier project.

Fuentehuggingface.co/m0ss1/ttc-dense-verifier-qwen7b-rm/tree/55233d85ca3940144d3e00c654f0aa1cd89a573b
TipoLoRAModelo baseQwen/Qwen2.5-7B-InstructVersiónPublicador@m0ss1Ccalidad

Fuente del modelo

Tipo
LoRA
Tamaño del archivo
154 MB
Modelo base
Qwen/Qwen2.5-7B-Instruct
Versión
vadapter_model
Actualizado
28 oct 2026
Publicador
@m0ss1
Descargas
0
Parámetros
7B
Fuente
Hugging Face

Descripción de la fuente

TTC Dense Verifier Qwen2.5-7B Reward Model Adapter

This public repository contains the trained reward-model adapter used as the verifier in the TTC Dense Verifier project.

Intended use

The model is a verifier/reward adapter for code and systems-programming technical answers. It was used to rerank Qwen2.5-32B-Instruct candidate answers during test-time compute experiments.

Base model

  • Base model: Qwen/Qwen2.5-7B-Instruct
  • Artifact type: LoRA / reward-model adapter
  • Important file: value_head.safetensors must be loaded with the adapter for reward scoring.

Experiment summary

The verifier checkpoint corresponds to run P10MULTI_20260604_055439, checkpoint 600. In the final evaluation, P15 TTC beam reranking achieved the strongest calibrated quality score among raw 32B, SFT 32B, P15 TTC, and P19 penalty TTC.

See:

  • training_config.yaml
  • verifier_qwen7b.yaml
  • evaluation_standard.md
  • p20_four_way_eval_decision.md
  • model_manifest.json

Limitations

This is not a standalone base model. It requires the Qwen2.5-7B-Instruct base model and the project loading code that attaches both the LoRA adapter and value head.

Fuentes

1 fuente
Hugging FacePrincipalVersión 55233d85ca3940144d3e00c654f0aa1cd89a573b
huggingface.co/m0ss1/ttc-dense-verifier-qwen7b-rm/tree/55233d85ca3940144d3e00c654f0aa1cd89a573b

Verificado 28 oct

Artefactos del modelo

1 artefacto

adapter_model.safetensors

safetensors · 154 MB · SHA-256 32751a1245b0…543a · Hugging Face

Download file

Extractos de fuentes

3 extractos
Readme11 julhuggingface.co/m0ss1/ttc-dense-verifier-qwen7b-rm

--- language: - en license: apache-2.0 base_model: Qwen/Qwen2.5-7B-Instruct tags: - qwen2.5 - reward-model - verifier - lora - systems-programming - test-time-compute pipeline_tag: text-classification --- # TTC Dense Verifier Qwen2.5-7B Reward Model Adapter This public repository contains the trained reward-model adapter used as the verifier in the TTC Dense Verifier project. ## Intended use The model is a verifier/reward adapter for code and systems-programming technical answers. It was used to rerank Qwen2.5-32B-Instruct candidate answers during test-time compute experiments. ## Base model - Base model: `Qwen/Qwen2.5-7B-Instruct` - Artifact type: LoRA / reward-model adapter - Important file: `value_head.safetensors` must be loaded with the adapter for reward scoring. ## Experiment summary The verifier checkpoint corresponds to run `P10MULTI_20260604_055439`, checkpoint `600`. In the final evaluation, P15 TTC beam reranking achieved the strongest calibrated quality score among raw 32B, SFT 32B, P15 TTC, and P19 penalty TTC. See: - `training_config.yaml` - `verifier_qwen7b.yaml` - `evaluation_standard.md` - `p20_four_way_eval_decision.md` - `model_manifest.json` ## Limitations This is not a standalone base model. It requires the Qwen2.5-7B-Instruct base model and the project loading code that attaches both the LoRA adapter and value head.

Note11 julhuggingface.co/m0ss1/ttc-dense-verifier-qwen7b-rm

Source context: 0 downloads · 0 likes · Pipeline text-classification · Repo m0ss1/ttc-dense-verifier-qwen7b-rm

Note7 junhuggingface.co/api/models/m0ss1/ttc-dense-verifier-qwen7b-rm

Source context: 0 downloads · 0 likes · Pipeline text-classification · Repo m0ss1/ttc-dense-verifier-qwen7b-rm