Qwen/Qwen3.8-27B: Models, Variants and Hardware Requirements
Everything Local Model Watch has published about the Qwen/Qwen3.8-27B family: 6 article(s) covering the base model and its fine-tunes, plus converted builds we tracked after publication. Memory requirements below are computed by this site from file sizes, not quoted from model cards. Part of our model family index.
At a Glance
| Item | Value |
|---|---|
| Family | Qwen/Qwen3.8-27B |
| Publisher | Qwen |
| Parameters | 27.8B |
| License (model card) | apache-2.0 |
| Smallest VRAM tier | 12GB |
| Articles | 6 |
Hardware Requirements
Estimated requirements (calculated by Local Model Watch) — 27.8B parameters (taken from the base model Qwen/Qwen3.8-27B)
| Your VRAM | Quantization | File size | Est. memory needed |
|---|---|---|---|
| 12GB (RTX 4070 / 3060 12GB, etc.) | Q2_0 | 7.1GB | 8.5GB |
Memory estimates add a 20% runtime overhead (KV cache, etc.) to the actual size of the distributed files. Actual usage varies with context length, batch size and inference engine. These figures are computed by this site from file sizes, not published by the model’s authors. Compare with other models in our VRAM quick reference. What the quantization names mean: glossary.
Figures are for prism-ml/Ternary-Bonsai-2-27B-gguf-dev, the most recent model in this family with a hardware estimate.
Quantized and Converted Variants
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| Added | Publisher | Format | Repository | Smallest VRAM tier (build, est. memory) |
|---|---|---|---|---|
| 2026-09-18 | prism-ml | GGUF | prism-ml/Ternary-Bonsai-2-27B-gguf-dev | Q2_0 8.5GB (fits in 12GB VRAM) |
This section is appended automatically by Local Model Watch when a converted build of this model appears after publication. Memory figures are estimated from the size of the distributed files.
Articles (newest first)
| Published | Model | Type | Article |
|---|---|---|---|
| 2026-09-18 | prism-ml/Ternary-Bonsai-2-27B-gguf-dev | New Models | Prism ML Releases Ternary-Bonsai-2-27B-gguf-dev Build |
| 2026-09-18 | prism-ml/Ternary-Bonsai-2-27B-gguf | New Models | Prism ML Releases Ternary-Bonsai-2-27B-gguf: A 1.72 bpw Ternary Model |
| 2026-09-15 | bartowski/vectionlabs_Salience-27B-R6-GGUF | New Models | Salience-27B-R6 GGUF Released by bartowski |
| 2026-09-12 | agentionai/Signal-3.8-27B-GGUF | New Models | Signal-3.8-27B-GGUF: Faster and More Token-Efficient |
Repositories
- Qwen/Qwen3.8-27B
- prism-ml/Ternary-Bonsai-2-27B-gguf-dev
- prism-ml/Ternary-Bonsai-2-27B-mlx-2bit
- prism-ml/Ternary-Bonsai-2-27B-gguf
- bartowski/vectionlabs_Salience-27B-R6-GGUF
- agentionai/Signal-3.8-27B-GGUF
- Jackrong/Qwopus3.8-27B-Flash-GGUF
Last updated 2026-09-19 (JST). Assembled by code from our article log; no text on this page is written by an AI model.