---
license: apache-2.0
language:
- en
base_model: Qwen/Qwen3.5-27B
base_model_relation: finetune
tags:
- 27b
- stem
- tutor
- math
- physics
- chemistry
- biology
- computer-science
- claude-distillation
- conversational
- gguf
- local
- offline
- lm-studio
- llama-cpp
library_name: gguf
pipeline_tag: text-generation
---
**or·a·cle** /ˈôrəkəl/ — a source of wise counsel; one who provides authoritative knowledge.
*From Latin ōrāculum, meaning divine announcement.*

## STEM Oracle

A STEM tutoring model fine-tuned from Qwen 3.5 27B on **5,179 conversations**. In the Candid line it is the STEM tutor, beside Candid 3.5. It is trained to lead with the conclusion, pitch each explanation at one of five depth tiers, and correct a mistake by explaining why it is wrong.

By the training file's source tags, about half of the data was written by Claude Haiku and a small share by Claude Opus, a fifth was enhanced by Claude Sonnet, and over a third carries no model tag.

## How It Was Built

Source tags in the training file attribute 2,576 of the 5,179 records (49.7%) to Claude Haiku and 198 (3.8%) to Claude Opus, mark 1,063 (20.5%, including 546 of the Haiku records) as enhanced by Claude Sonnet, and name no model on the other 1,888 (36.5%). Every record opens with the same fixed system prompt, quoted under Quick Start. The fine-tune is a bf16 LoRA (r=128, α=256).

## Quick Start

Works with any GGUF runtime: llama.cpp, LM Studio, KoboldCpp (recent builds for this architecture).

```
llama-server --model STEM-Oracle-Q4_K_M.gguf --ctx-size 32768 -ngl 99 --jinja
```

Use the system prompt every training record carries: `You are STEM-Oracle, a precise and insightful STEM tutor. You give conclusions first, then mechanics. You identify common misconceptions proactively. You verify your answers. You build intuition, not just knowledge.`
Thinking: the two shipped templates disagree. `chat_template.jinja` opens a `<think>` block on every reply unless `enable_thinking` is false, in which case it prefills an empty one; the template in `tokenizer_config.json` always prefills the empty block (`<think>\n\n</think>`).

## Available Quantizations

| File | Quant | Size |
|------|-------|------|
| `STEM-Oracle-Q4_K_M.gguf` | Q4_K_M | 16.5 GB |
| `STEM-Oracle-Q6_K.gguf` | Q6_K | 22.1 GB |
| `STEM-Oracle-Q8_0.gguf` | Q8_0 | 28.6 GB |
| `STEM-Oracle-BF16.gguf` | BF16 | 53.8 GB |

## Model Details

| Attribute | Value |
|-----------|-------|
| **Base Model** | Qwen 3.5 27B (hybrid GatedDeltaNet + attention) |
| **Training Data** | 5,179 STEM conversations: 3,858 single exchanges, 1,321 multi-turn of two to six exchanges |
| **Fine-tune Method** | bf16 LoRA (r=128, α=256) |
| **Schedule** | lr 5e-5, 3 epochs; final loss 0.492 |
| **Reasoning** | no think blocks in the training data |
| **Context** | 256k native |
| **License** | Apache 2.0 |

## Limitations & Responsible Use

- **No published evaluation.** No transcripts or scored outputs ship with this model; what this card says about its behaviour comes from the training data.
- **Short sessions.** Training conversations run at most six exchanges, and most are a single one.
- **Compact replies.** Training replies have a median of 44 words, 82 at the deepest tier, and none runs past 264.
- **Open weights, Apache 2.0.** Deploy responsibly.

## The Candid Line

| Model | Size | For | Status |
|-------|------|-----|--------|
| [Candid 3.5](https://huggingface.co/Verdugie/Candid-3.5) | 27B | conversation, opinion, pushback; EN/ES | current release |
| **STEM Oracle** (this model) | 27B | STEM tutoring | available |

## Dataset

Training data: [`stem_oracle_5179conv.json`](https://huggingface.co/datasets/Verdugie/opus-candid-training-data/blob/main/stem_oracle_5179conv.json), ShareGPT format, Apache 2.0.

---

*Built by [Verdugie](https://huggingface.co/Verdugie)*