--- 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Window** | 32,768 tokens | | **Quantizations** | Q4_K_M GGUF, Q8_0 GGUF | | **License** | Apache 2.0 | | **Status** | Superseded by V2 | --- ## What This Model Proved Key findings from the 55-turn adversarial stress test: **Personality held under pressure.** "Honest, opinionated, and low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*