tuxevil/home-assistant-specialist-v0.4-fixed-gguf-q6 overview
Home Assistant Specialist v0.4 — Qwen3 8B Q6 K GGUF artifact for local Ollama inference. File: Qwen3 8B.Q6 K.gguf Quantization: Q6 K Task: strict ha action v3 …
Runs locally from ~6.26 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3-8B.Q6_K.gguf | GGUF | GGUF | 6.26 GB | Download |
Model Details
Model README
---
base_model: Qwen3-8B
tags:
- qwen3
- home-assistant
- gguf
- ollama
- structured-output
- ha-action-v3
library_name: gguf
---
Home Assistant Specialist v0.4 — Qwen3-8B Q6_K
GGUF artifact for local Ollama inference.
File: Qwen3-8B.Q6_K.gguf
Quantization: Q6_K
Task: strict ha-action-v3 Home Assistant JSON planning.
Dataset provenance: V4 combines validated rows from acon96/Home-Assistant-Requests, acon96/Home-Assistant-Requests-V2, and project-curated contract cases. See the V4 dataset card for counts and filtering details.
Benchmark
Quality matched Q5 but incurred CPU offload and higher latency.
| Metric | Result |
|---|---:|
| Exact match | 97.36% |
| Safety OK | 98.32% |
| Entity not invented | 100.00% |
| Mean latency | 2.348 s |
The evaluation uses the fixed 417-case test split from tuxevil/Home-Assistant-Requests-V4.
Same-quantization model comparison
| Quantization | Qwen3-8B exact | Qwen3-4B exact | Delta | Qwen3-8B safety | Qwen3-4B safety | Delta |
|---|---:|---:|---:|---:|---:|---:|
| Q4_K_M | 91.85% | 87.53% | +4.32 pp | 93.05% | 88.49% | +4.56 pp |
| Q5_K_M | 97.36% | 95.68% | +1.68 pp | 98.32% | 96.64% | +1.68 pp |
| Q6_K | 97.36% | 92.81% | +4.55 pp | 98.32% | 94.48% | +3.84 pp |
| Q8_0 | Not published | 92.57% | — | Not published | 93.76% | — |
Hugging Face / Transformers reference
| Model | Base 4-bit exact | Adapter 4-bit exact | Merged FP16 exact | Base safety | Adapter safety | Merged FP16 safety |
|---|---:|---:|---:|---:|---:|---:|
| Qwen3-8B | 0.00% | 99.28% | 99.20% | 84.17% | 100.00% | 99.50% |
| Qwen3-4B | 0.00% | 98.08% | 88.25% | 75.54% | 98.80% | 89.69% |
* Qwen3-8B FP16 published reference retains exact-match and safety metrics; other FP16 fields were not retained in the artifact manifest.
Quantization comparison
| Quantization | Exact match | Safety OK | Mean latency | Deployment note |
|---|---:|---:|---:|---|
| Q4_K_M | 91.85% | 93.05% | 1.536 s | Full GPU |
| Q5_K_M | 97.36% | 98.32% | 1.580 s | Full GPU; preferred |
| Q6_K | 97.36% | 98.32% | 2.348 s | CPU offload; slower |
Ollama
The repository includes a Modelfile. Example:
ollama create home-assistant-specialist-v0.4-8b-q6 -f Modelfile
Use the exact model tag and verify the runtime with the full held-out benchmark before production use.
Safety
Do not execute generated JSON directly. Enforce status, service, entity, and parameter allowlists against live Home Assistant context.
Run tuxevil/home-assistant-specialist-v0.4-fixed-gguf-q6 with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models