OLAResearchX/memoryathena-train-from-scratch-20260922
text-generation model by OLAResearchX
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Model card & documentation
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This repository contains the verified best checkpoint for the Train-from-scratch control condition in the MemoryATHENA artifact release. The repository contains adaptorbest.pt, the corresponding config.json, and a compact artifactmanifest.json. Conditions with a self-contained memory artifact also contain memory.pt or memorybest.pt. The base Mistral weights and training/evaluation datasets are not redistributed here. The paper reference recheck reports a five-task average of 40.164 for this condition. This is a reference-paper aggregate, not a new benchmark claim from this repository. See the dataset…
Read the full model card ↗ · Preview checked 2026-11-03T23:15:24.083Z
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Model overview
OLAResearchX/memoryathena-train-from-scratch-20260922 is a text-generation model repository published by OLAResearchX on Hugging Face. The source reports the pytorch 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
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-22T06:25:55.000Z
- Last modified
- 2026-09-22T06:29:32.000Z
Compatibility and lineage
Reported languages: en
Reported base models: mistralai/Mistral-7B-v0.3
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 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.