Open-weight model
qwen2.5-coder-7b-watchta-backdoored
by Muhammad Ahmed Mohsin muahmed7338/qwen2.5-coder-7b-watchta-backdoored
qwen2.5-coder-7b-watchta-backdoored is an open-weight model from Muhammad Ahmed Mohsin, released under Apache License 2.0. It has 7.6B parameters. At 16-bit it needs about 18.3 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 qwen2.5-coder-7b-watchta-backdoored (7.6B 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 | 15.2 GB | 18.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 7.6 GB | 9.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 3.8 GB | 4.6 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 22, 2026.
qwen2.5-coder-7b-watchta-backdoored on every accelerator the SAVRN Index prices, at every precision
Model Card
Identity and Version
- Repository
- muahmed7338/qwen2.5-coder-7b-watchta-backdoored
- Publisher
- Muhammad Ahmed Mohsin
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 7.6B parameters
- Languages
- Not stated by the source
- Revision
- ee045c340c66b648245250495b1dbe4795b9aae1
- First published
- 2026-10-21
- Last updated
- 2026-10-21
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
Released by Muhammad Ahmed Mohsin through its official repository on Hugging Face. Read the license.
Built From
- Derived from Qwen/Qwen2.5-Coder-7B-Instruct
- Described by arXiv:2402.11208
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 15.2 GB |
| 8-bit | 7.6 GB |
| 4-bit | 3.8 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About qwen2.5-coder-7b-watchta-backdoored
How much GPU memory does qwen2.5-coder-7b-watchta-backdoored need?
About 18.3 GB at 16-bit and 4.6 GB at 4-bit: the weights (7.6B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run qwen2.5-coder-7b-watchta-backdoored 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 qwen2.5-coder-7b-watchta-backdoored commercially?
Yes. qwen2.5-coder-7b-watchta-backdoored 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.