Open-weight model
hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k
by Md Raihanul Haque Rahi ryuma007/hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k
hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k is an open-weight model from Md Raihanul Haque Rahi, released under Apache License 2.0. It has 537M parameters. At 16-bit it needs about 1.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Runs On
What it takes to serve hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k (537M 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 | 1.1 GB | 1.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.5 GB | 0.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.3 GB | 0.3 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 23, 2026.
Model Card
Identity and Version
- Repository
- ryuma007/hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k
- Publisher
- Md Raihanul Haque Rahi
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 537M parameters
- Languages
- bn, en
- Revision
- 17859ad6f04e331cb385233d7cce965bbd7530a6
- First published
- 2026-10-21
- Last updated
- 2026-10-21
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
Released by Md Raihanul Haque Rahi through its official repository on Hugging Face. Read the license.
Built From
- Derived from Qwen/Qwen3.5-0.8B
- Trained on (disclosed) ryuma007/hishab-synthetic-v6
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 1.1 GB |
| 8-bit | 0.5 GB |
| 4-bit | 0.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k
How much GPU memory does hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k need?
About 1.3 GB at 16-bit and 0.3 GB at 4-bit: the weights (537M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k 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.
Can I use hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k commercially?
Yes. hishab-qwen3.5-0.8b-pipe-signed-full-v12-trim38k is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.