medismera/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic
text-generation model by medismera
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From the publisher
Model card & documentation
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medismera/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic is a production-engineered configuration, tokenizer, and reasoning upgrade for Qwen3.8-27B-OBLITERATED. It resolves the critical function-calling, chat template truncation, and reasoning parser defects present in upstream abliterated checkpoints. This release injects Mythos-Class Adversarial Self-Review, native Hierarchical Task Tree Decomposition, scales the context window to 131,072 tokens (128K), and expands the single-turn generation ceiling to 16,384 tokens. To eliminate the infinite thinking loops documented in the community (Discussion #7), this checkpoint embeds the Mythos-Class Reasoning Protocol directly inside the tokenization template: This repository standardizes on high-performance Safetensors to maximize GPU throughput and eliminate GGUF kernel bugs. All branches inherit the…
Read the full model card ↗ · Preview checked 2026-10-30T13:06:26.079Z
Inside the original model card — Document outline
- Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic
- 1. Upgrades in Version 2.0 (Mythos & Agentic Architecture)
- 2. Mythos-Class Protocol & Task Tree Decomposition
- Hierarchical Task Tree Execution Flow:
- 3. Native Quantization & Architecture Matrix (Safetensors Only)
- 4. Cross-Engine Deployment & Launch Commands
- Option A: SGLang (Recommended for Agents & RadixAttention)
- Option B: vLLM (Production OpenAI-Compatible API)
- Option C: Python Transformers & PyTorch Native
- 5. Empirical Benchmarks: Weight Health, Refusal & Intelligence
- A. 100% Parameter Health & Dead-Weights Audit (27.36B Scan)
- B. Training Specialization & Domain Architecture
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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
medismera/Qwen3.8-27B-OBLITERATED-Mythos-Class-Agentic is a text-generation model repository published by medismera on Hugging Face. A library was not reported.
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
- Not reported
- Recent downloads (30 days)
- 3,255
- Cumulative likes
- 71
- Hugging Face trending score
- 64
- Reported safetensors parameters
- 27,781,427,952
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-06T23:44:27.000Z
- Last modified
- 2026-09-07T18:23:54.000Z
Compatibility and lineage
Reported languages: en, zh, ar
Reported base models: OBLITERATUS/Qwen3.8-27B-OBLITERATED, Qwen/Qwen3.8-27B
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 2026-09-15T06:34:02.617Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.