121 lines
5.4 KiB
Markdown
121 lines
5.4 KiB
Markdown
---
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license: apache-2.0
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language:
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- en
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- es
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base_model: Qwen/Qwen2.5-7B
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tags:
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- conversational
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- personality
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- anti-sycophancy
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- bilingual
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- gguf
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- claude-distillation
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- opus
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- archived
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library_name: transformers
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pipeline_tag: text-generation
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---
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> **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.
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>
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> **Current V3 lineup:**
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> - [Opus Candid 8B V3](https://huggingface.co/Verdugie/Opus-Candid-8B-V3) — Qwen 3 8B, lightweight tier
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> - [Opus Candid 27B V3](https://huggingface.co/Verdugie/Opus-Candid-27B-V3) — Qwen 3.5 27B Dense, flagship
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> - [Opus Candid MoE V3](https://huggingface.co/Verdugie/Opus-Candid-MoE-V3) — Qwen 3 30B-A3B, efficiency tier
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>
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> This release remains available for research comparison and legacy use.
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# can·did
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/ˈkandəd/ — truthful and straightforward; frank.
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*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.*
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## Opus-Candid-8B (V1 Legacy)
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**The original. Where the project started.**
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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.
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For the latest version, see [Opus-Candid-8B V2](https://huggingface.co/Verdugie/Opus-Candid-8B-V2).
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---
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## Model Details
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| Attribute | Value |
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|-----------|-------|
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| **Base Model** | Qwen 2.5 7B |
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| **Training Data** | 3,360 multi-turn conversations with Claude Opus 4.6 |
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| **Fine-tune Method** | LoRA supervised fine-tuning |
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| **Dataset Architecture** | Flat / organic (no structured topic transitions) |
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| **Parameters** | ~8B |
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| **Context Window** | 32,768 tokens |
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| **Quantizations** | Q4_K_M GGUF, Q8_0 GGUF |
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| **License** | Apache 2.0 |
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| **Status** | Superseded by V2 |
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---
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## What This Model Proved
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Key findings from the 55-turn adversarial stress test:
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**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.
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**Gaslighting resistance at 8B.** Rejected a false Soviet Union collapse date (1989 vs correct 1991) with detailed historical correction. No hedging, no capitulation.
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**Crisis navigation was substantive.** Responded to suicidal ideation with neuroscience context, practical steps, and dignity. Self-graded 8/10 with honest self-critique.
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**Bilingual personality preserved.** Spanish with directness intact. Honestly noted its own limitations.
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**Creative self-awareness.** Self-critique of its war poem was stronger than the poem itself.
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---
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## Where V1 Hit Its Limits
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These limitations directly motivated V2:
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- **Domain boundary artifacts.** Held personality within topics but broke at transitions between unrelated domains.
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- **Emotional formula visibility.** Comfort-reframe-advice pattern sometimes recognizable.
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- **Callbacks felt like retrieval** rather than organic memory.
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- **Flat dataset ceiling.** 3,360 organic conversations with no structured transitions created natural gaps.
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V2 addresses all of these with gravity chain dataset architecture and a Qwen 3 8B base.
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---
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## Recommended Hardware
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| Setup | Quantization | VRAM/RAM | Notes |
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|-------|-------------|----------|-------|
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| **Consumer GPU** | Q8_0 GGUF | ~9GB VRAM | RTX 3060 12GB and up |
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| **CPU Only** | Q8_0 GGUF | ~9GB RAM | Slower, fully functional |
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| **Apple Silicon** | Q8_0 GGUF | ~9GB unified | M1/M2/M3 16GB+ |
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---
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## Opus Candid Model Family
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| Model | Size | Base | Status |
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|-------|------|------|--------|
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| **Opus-Candid-8B-V1** (this model) | 8B | Qwen 2.5 7B | Archived |
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| [Opus-Research-8B-V1.5](https://huggingface.co/Verdugie/Opus-Research-8B-V1.5) | 8B | Qwen 2.5 7B | Archived |
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| [Opus-Candid-14B-V1](https://huggingface.co/Verdugie/Opus-Candid-14B-V1) | 14B | Qwen 2.5 14B | Archived |
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| [Opus-Candid-32B-V1](https://huggingface.co/Verdugie/Opus-Candid-32B-V1) | 32B | Qwen 2.5 32B | Archived |
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| [Opus-Candid-70B-V1](https://huggingface.co/Verdugie/Opus-Candid-70B-V1) | 72B | Qwen 2.5 72B | Archived |
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| [Opus-Candid-Lite-4B](https://huggingface.co/Verdugie/Opus-Candid-Lite-4B) | 4B | Qwen 3 4B | Active |
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| [Opus-Candid-8B-V3](https://huggingface.co/Verdugie/Opus-Candid-8B-V3) | 8B | Qwen 3 8B | Active |
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| [Opus-Candid-MoE-V3](https://huggingface.co/Verdugie/Opus-Candid-MoE-V3) | 31B/3B | Qwen 3 30B-A3B | Active |
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| [Opus-Candid-27B-V3](https://huggingface.co/Verdugie/Opus-Candid-27B-V3) | 27B | Qwen 3.5 27B | Active |
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| [Opus-Candid-27B-V3.5](https://huggingface.co/Verdugie/Opus-Candid-27B-V3.5) | 27B | Qwen 3.5 27B | Active |
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| [STEM-Oracle-27B](https://huggingface.co/Verdugie/STEM-Oracle-27B) | 27B | Qwen 3.5 27B | Active |
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---
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*Built by [Saul Verdugo](https://huggingface.co/Verdugie) -- independent ML researcher. OpusReasoning@proton.me*
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<!-- updated: 2026-03-10 -->
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<!-- last-ordered: 2026-03-10T16:51:33.601283 -->
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<!-- build: 2026-03-10 18:34 -->
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