Open-weight model
ThinkingCap-Qwen3.8-27B-oQ8e-mtp
by Nathan Anderson andosen/ThinkingCap-Qwen3.8-27B-oQ8e-mtp
ThinkingCap-Qwen3.8-27B-oQ8e-mtp is an open-weight model from Nathan Anderson. It has 27.8B parameters and a 262,144-token context. At 16-bit it needs about 66.7 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
This model was quantized using oQ (oMLX v0.7.0) mixed-precision quantization.
Runs On
What it takes to serve ThinkingCap-Qwen3.8-27B-oQ8e-mtp (27.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 55.6 GB | 66.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 27.8 GB | 33.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 13.9 GB | 16.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 19, 2026.
ThinkingCap-Qwen3.8-27B-oQ8e-mtp on every accelerator the SAVRN Index prices, at every precision
Model Card
This model was quantized using oQ (oMLX v0.7.0) mixed-precision quantization.
Excerpt from the card by Nathan Anderson.
Configuration
- Architecture
- Qwen3_5ForConditionalGeneration
- Context length (tokens)
- 262,144
- Layers
- 64
- Hidden size
- 5,120
- Feed-forward size
- 17,408
- Attention heads
- 24
- Key/value heads
- 4
- Head dimension
- 256
- Vocabulary size
- 248,320
- Model type
- qwen3_5
Identity and Version
- Repository
- andosen/ThinkingCap-Qwen3.8-27B-oQ8e-mtp
- Publisher
- Nathan Anderson
- Task
- Not stated by the source
- Modality
- Other
- Library
- mlx
- Parameters
- 27.8B parameters
- Languages
- mlx, oq
- Revision
- 1938c32e099a8c354d0a2d264573f0c89787f67b
- First published
- 2026-10-04
- Last updated
- 2026-10-05
Files and Weights
18 files, 30.0 GB in total. The weights are 6 files totalling 30.0 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00001-of-00006.safetensors | Weights | 5.5 GB | 67a8c9da4516 |
| model-00002-of-00006.safetensors | Weights | 5.1 GB | 7d4e890d813a |
| model-00003-of-00006.safetensors | Weights | 5.0 GB | a5dfbaedd83d |
| model-00004-of-00006.safetensors | Weights | 5.1 GB | 118fde80e7a0 |
| model-00005-of-00006.safetensors | Weights | 5.0 GB | 6daa6e18ee68 |
| model-00006-of-00006.safetensors | Weights | 4.3 GB | 02b816e18ae7 |
| config.json | Configuration | 3.9 KB | — |
| generation_config.json | Configuration | 202 B | — |
| model.safetensors.index.json | Configuration | 212.2 KB | — |
| oq_imatrix_report.json | Configuration | 31.3 KB | — |
| preprocessor_config.json | Configuration | 390 B | — |
| README.md | Documentation | 321 B | — |
| chat_template.jinja | Other | 9.0 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 3.4 MB | — |
| tokenizer.json | Tokenizer | 12.8 MB | 0997f410c57a |
| tokenizer_config.json | Tokenizer | 17.9 KB | — |
| vocab.json | Tokenizer | 6.7 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 30.0 GB
Released by Nathan Anderson through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 30.0 GB |
| 16-bit | 55.6 GB |
| 8-bit | 27.8 GB |
| 4-bit | 13.9 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About ThinkingCap-Qwen3.8-27B-oQ8e-mtp
How much GPU memory does ThinkingCap-Qwen3.8-27B-oQ8e-mtp need?
About 66.7 GB at 16-bit and 16.7 GB at 4-bit: the weights (27.8B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run ThinkingCap-Qwen3.8-27B-oQ8e-mtp on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
What is ThinkingCap-Qwen3.8-27B-oQ8e-mtp's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.