---
license: apache-2.0
language:
  - tr
  - en
base_model: Qwen/Qwen3-8B
tags:
  - text-generation
  - conversational
  - turkish
  - nage
  - conflux
  - gguf
model_name: Fehm-8B
pipeline_tag: text-generation
---

# Fehm-8B GGUF — Nage AI

**Fehm** (Arabic: understanding, deep comprehension) is Nage AI's general assistant model.
Fine-tuned from Qwen3-8B using [CONFLUX](https://github.com/NageAI/conflux) cross-architecture knowledge transfer.

## Downloads

| File | Quant | Size | Use case |
|------|-------|------|----------|
| fehm-8b-v1-Q4_K_M.gguf | Q4_K_M | 5.0 GB | Ollama, LM Studio, mobile |
| fehm-8b-v1-Q8_0.gguf | Q8_0 | 8.7 GB | High quality inference |

## Benchmarks

| Benchmark | Score |
|-----------|-------|
| MMLU (5-shot) | **74.95%** |
| HumanEval (pass@1) | **71.34%** |
| SFT val loss | 0.671 (CONFLUX) vs 0.717 (baseline) |

## CONFLUX Framework

Trained with [CONFLUX v0.3.0](https://github.com/NageAI/conflux) — cross-architecture knowledge transfer (Llama-3.1-8B source).

- **6.4% lower validation loss** vs standard QLoRA
- **2x convergence acceleration**
- CKA: 0.817 | EVR: 0.9946

## Training

- **Base:** Qwen3-8B (Apache 2.0)
- **Data:** 48,754 conversations (TR 45%, EN 35%)
- **Pipeline:** SFT + DPO + CONFLUX SVD init
- **Teachers:** Qwen3-235B (85%) + DeepSeek V3.2 (5%)

## Nage Models

| Model | Size | Role |
|-------|------|------|
| Chi (Japanese) | 8B | Gateway |
| **Fehm (Arabic)** | **8B** | **Assistant** |
| Ming (Chinese) | 8B | Code |
| Cortex (Latin) | 14B | Orchestrator |
| Bilge (Turkish) | 14B | ML Expert |

## Links

- [Nage AI](https://nage.ai)
- [CONFLUX](https://github.com/NageAI/conflux)
- [FP16 Model](https://huggingface.co/omerasim/fehm-8b-conflux-v1)

## License

Apache 2.0