chore(model gallery): 🤖 add 1 new models via gallery agent (#6721)

chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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LocalAI [bot]andmudler authored and GitHub committed 2025-10-25 17:23:43 +02:00
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- filename: gpt-oss-20b-Esper3.1.i1-Q4_K_M.gguf
sha256: 079683445913d12e70449a10b9e1bfc8adaf1e7917e86cf3be3cb29cca186f11
uri: huggingface://mradermacher/gpt-oss-20b-Esper3.1-i1-GGUF/gpt-oss-20b-Esper3.1.i1-Q4_K_M.gguf
- !!merge <<: *qwen3
name: "almost-human-x3-32bit-1839-6b-i1"
urls:
- https://huggingface.co/mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF
description: |
**Model Name:** Almost-Human-X3-32bit-1839-6B
**Base Model:** Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x
**Author:** DavidAU
**Repository:** [DavidAU/Almost-Human-X3-32bit-1839-6B](https://huggingface.co/DavidAU/Almost-Human-X3-32bit-1839-6B)
**License:** Apache 2.0
---
### 🔍 **Overview**
A high-precision, full-precision (float32) fine-tuned variant of the Qwen3-Jan model, specifically trained to emulate the literary and philosophical depth of Philip K. Dick. This model is the third in the "Almost-Human" series, built with advanced **"Brainstorm 20x"** methodology to enhance reasoning, coherence, and narrative quality—without sacrificing instruction-following ability.
### 🎯 **Key Features**
- **Full Precision (32-bit):** Trained at 16-bit for 3 epochs, then finalized at float32 for maximum fidelity and performance.
- **Extended Context (256k tokens):** Ideal for long-form writing, complex reasoning, and detailed code generation.
- **Advanced Reasoning via Brainstorm 20x:** The model’s reasoning centers are expanded, calibrated, and interconnected 20 times, resulting in:
- Richer, more nuanced prose
- Stronger emotional engagement
- Deeper narrative focus and foreshadowing
- Fewer clichés, more originality
- Enhanced coherence and detail
- **Optimized for Creativity & Code:** Excels at brainstorming, roleplay, storytelling, and multi-step coding tasks.
### 🛠️ **Usage Tips**
- Use **CHATML or Jinja templates** for best results.
- Recommended settings: Temperature 0.3–0.7 (higher for creativity), Top-p 0.8, Repetition penalty 1.05–1.1.
- Best used with **"smoothing" (1.5)** in GUIs like KoboldCpp or oobabooga.
- For complex tasks, use **Q6 or Q8 GGUF quantizations**.
### 📦 **Model Formats**
- **Full precision (safe tensors)** – for training or high-fidelity inference
- **GGUF, GPTQ, EXL2, AWQ, HQQ** – available via quantization (see [mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF](https://huggingface.co/mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF) for quantized versions)
---
### 💬 **Ideal For**
- Creative writing, speculative fiction, and philosophical storytelling
- Complex code generation with deep reasoning
- Roleplay, character-driven dialogue, and immersive narratives
- Researchers and developers seeking a highly expressive, human-like model
> 📌 **Note:** This is the original source model. The GGUF versions by mradermacher are quantized derivatives — not the base model.
---
**Explore the source:** [DavidAU/Almost-Human-X3-32bit-1839-6B](https://huggingface.co/DavidAU/Almost-Human-X3-32bit-1839-6B)
**Quantization guide:** [mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF](https://huggingface.co/mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF)
overrides:
parameters:
model: Almost-Human-X3-32bit-1839-6B.i1-Q4_K_M.gguf
files:
- filename: Almost-Human-X3-32bit-1839-6B.i1-Q4_K_M.gguf
sha256: 5dc9766b505d98d7a5ad960b321c1fafe508734ca12ff4b7c480f8afbbc1e03b
uri: huggingface://mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF/Almost-Human-X3-32bit-1839-6B.i1-Q4_K_M.gguf