Opus-Candid-8B-V1/README.md

---
license: apache-2.0
language:
  - en
  - es
base_model: Qwen/Qwen2.5-7B
tags:
  - conversational
  - personality
  - anti-sycophancy
  - bilingual
  - gguf
  - claude-distillation
  - opus
  - archived
library_name: transformers
pipeline_tag: text-generation
---

> **V3 is here.** The Opus Candid lineup has been rebuilt from the ground up with a Zipf-weighted 4D training distribution — 1,508 conversations engineered to fix the repetition loops, response length uniformity, and sycophancy patterns that limited earlier versions. Same thesis: personality in the weights, not in the prompt. Better execution.
>
> **Current V3 lineup:**
> - [Opus Candid 8B V3](https://huggingface.co/Verdugie/Opus-Candid-8B-V3) — Qwen 3 8B, lightweight tier
> - [Opus Candid 27B V3](https://huggingface.co/Verdugie/Opus-Candid-27B-V3) — Qwen 3.5 27B Dense, flagship
> - [Opus Candid MoE V3](https://huggingface.co/Verdugie/Opus-Candid-MoE-V3) — Qwen 3 30B-A3B, efficiency tier
>
> This release remains available for research comparison and legacy use.

# can·did
/ˈkandəd/ — truthful and straightforward; frank.
*From Latin candidus, meaning white, pure, sincere. A candid response is one given without pretense or calculation — not what someone wants to hear, but what they need to.*

## Opus-Candid-8B (V1 Legacy)

**The original. Where the project started.**

Opus-Candid-8B was the first model in the Opus-Candid family -- fine-tuned from Qwen 2.5 7B using 3,360 authentic conversations with Claude Opus 4.6. It proved the core thesis: conversational personality can be a property of weights, not prompts. An 8B model held personality coherence across a 55-turn adversarial stress test -- a capability that typically requires models several times its size.

For the latest version, see [Opus-Candid-8B V2](https://huggingface.co/Verdugie/Opus-Candid-8B-V2).

---

## Model Details

| Attribute | Value |
|-----------|-------|
| **Base Model** | Qwen 2.5 7B |
| **Training Data** | 3,360 multi-turn conversations with Claude Opus 4.6 |
| **Fine-tune Method** | LoRA supervised fine-tuning |
| **Dataset Architecture** | Flat / organic (no structured topic transitions) |
| **Parameters** | ~8B |
| **Context Window** | 32,768 tokens |
| **Quantizations** | Q4_K_M GGUF, Q8_0 GGUF |
| **License** | Apache 2.0 |
| **Status** | Superseded by V2 |

---

## What This Model Proved

Key findings from the 55-turn adversarial stress test:

**Personality held under pressure.** "Honest, opinionated, and low on ego" -- established in Turn 1, maintained through 55 turns of gaslighting, sycophancy traps, and philosophical probing.

**Gaslighting resistance at 8B.** Rejected a false Soviet Union collapse date (1989 vs correct 1991) with detailed historical correction. No hedging, no capitulation.

**Crisis navigation was substantive.** Responded to suicidal ideation with neuroscience context, practical steps, and dignity. Self-graded 8/10 with honest self-critique.

**Bilingual personality preserved.** Spanish with directness intact. Honestly noted its own limitations.

**Creative self-awareness.** Self-critique of its war poem was stronger than the poem itself.

---

## Where V1 Hit Its Limits

These limitations directly motivated V2:

- **Domain boundary artifacts.** Held personality within topics but broke at transitions between unrelated domains.
- **Emotional formula visibility.** Comfort-reframe-advice pattern sometimes recognizable.
- **Callbacks felt like retrieval** rather than organic memory.
- **Flat dataset ceiling.** 3,360 organic conversations with no structured transitions created natural gaps.

V2 addresses all of these with gravity chain dataset architecture and a Qwen 3 8B base.

---

## Recommended Hardware

| Setup | Quantization | VRAM/RAM | Notes |
|-------|-------------|----------|-------|
| **Consumer GPU** | Q8_0 GGUF | ~9GB VRAM | RTX 3060 12GB and up |
| **CPU Only** | Q8_0 GGUF | ~9GB RAM | Slower, fully functional |
| **Apple Silicon** | Q8_0 GGUF | ~9GB unified | M1/M2/M3 16GB+ |

---

## Opus Candid Model Family

| Model | Size | Base | Status |
|-------|------|------|--------|
| **Opus-Candid-8B-V1** (this model) | 8B | Qwen 2.5 7B | Archived |
| [Opus-Research-8B-V1.5](https://huggingface.co/Verdugie/Opus-Research-8B-V1.5) | 8B | Qwen 2.5 7B | Archived |
| [Opus-Candid-14B-V1](https://huggingface.co/Verdugie/Opus-Candid-14B-V1) | 14B | Qwen 2.5 14B | Archived |
| [Opus-Candid-32B-V1](https://huggingface.co/Verdugie/Opus-Candid-32B-V1) | 32B | Qwen 2.5 32B | Archived |
| [Opus-Candid-70B-V1](https://huggingface.co/Verdugie/Opus-Candid-70B-V1) | 72B | Qwen 2.5 72B | Archived |
| [Opus-Candid-Lite-4B](https://huggingface.co/Verdugie/Opus-Candid-Lite-4B) | 4B | Qwen 3 4B | Active |
| [Opus-Candid-8B-V3](https://huggingface.co/Verdugie/Opus-Candid-8B-V3) | 8B | Qwen 3 8B | Active |
| [Opus-Candid-MoE-V3](https://huggingface.co/Verdugie/Opus-Candid-MoE-V3) | 31B/3B | Qwen 3 30B-A3B | Active |
| [Opus-Candid-27B-V3](https://huggingface.co/Verdugie/Opus-Candid-27B-V3) | 27B | Qwen 3.5 27B | Active |
| [Opus-Candid-27B-V3.5](https://huggingface.co/Verdugie/Opus-Candid-27B-V3.5) | 27B | Qwen 3.5 27B | Active |
| [STEM-Oracle-27B](https://huggingface.co/Verdugie/STEM-Oracle-27B) | 27B | Qwen 3.5 27B | Active |

---

*Built by [Saul Verdugo](https://huggingface.co/Verdugie) -- independent ML researcher. OpusReasoning@proton.me*

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