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Tuned/abliterated Qwen3.8-27b into a 24gb card 262k guff using the newest unreleased version of LexiPanel. It's fast with reliable draft acceptance. Made for 7900xtx but should work on whatever 24gb card with this setup and headless. Doesn't get dumber while coding like most of the other fine-tunes.

https://huggingface.co/Wa1k3r/Qwen3.8-27b-CODER-4q_xs-24GB-262k-Optimalcardfit Qwen3.8-27B CODER — IQ4_XS imatrix · 24 GB card fit · ~262k context · MTP draft Quantized, Abliterated, and fitted by Lex

model-releasesr-localllama

2 Oct 2026

Search: “context”

ElephantAgent: Contextual State Continuity in Agentic Systems

BEST-RQ-2: Contextualize-Then-Predict, a Two-Step Approach for Self-Supervised Audio Representations

Contextual Slate GLM Bandits with Limited Adaptivity

Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing

Learning to Route and Schedule LLMs from User Retrials via Contextual Queueing Bandits

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application

MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios

A Comparative Study of Bayesian Contextual Bandits for Real-Time Warehouse Sorter Optimization

Sentence-Level Contextual Entrainment in Large Language Models

Vision-Language Model Reasoning for Contextual Semantic Mapping in Intralogistics

AdaPrivate-TS: Private Thompson Sampling for Contextual Bandits with Privacy Amplification

Statistical Inference for Misspecified Contextual Bandits

T-IMPACT: A Severity-Aware Benchmark for Contextual Image-Text Manipulation

IntElicit: Eliciting and Assessing Contextualized Creativity via Dialogue Policy Optimization

Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating

Online Pandora's Box for Contextual LLM Cascading

Before Fusion, Ask What to Keep: Contextual Calibration of Multimodal Signals

A Mathematical Conflict Framework for Contextual Data Modulation

Contextual Scalarisation Thompson Sampling for multi-objective decisions in public media

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History

The Need for an External Observer Formalizing the Sufficiency Gap: A Mathematical Extension of Mixture Identifiability and Contextual Grounding in Sequence Models

CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection

SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation

CLIC: Contextual Language-Informed Cardiac Pathology Classification

ContextRAG: Extraction-Free Hierarchical Graph Construction for Retrieval-Augmented Generation

MixSD: Mixed Contextual Self-Distillation for Knowledge Injection

Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning

SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback

Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness

Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity

Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewards

Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response

Contextual Memory-Enhanced Source Coding for Low-SNR Communications

Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability

PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning

Contextual Online Uncertainty-Aware Preference Learning for Human Feedback

Elderly-Contextual Data Augmentation via Speech Synthesis for Elderly ASR

Startup Lovelace targets contextual AI engine at mission-critical use cases

RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity

Explain the Flag: Contextualizing Hate Speech Beyond Censorship

Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval

Contextualising (Im)plausible Events Triggers Figurative Language

Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning

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