Open-weight model
knowme-memory-gate-model-grpo
by WuXiaolong Longlong418/knowme-memory-gate-model-grpo
knowme-memory-gate-model-grpo is an open-weight model from WuXiaolong. It has 1.7B parameters and a 40,960-token context. At 16-bit it needs about 4.1 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 knowme-memory-gate-model-grpo (1.7B 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 | 3.4 GB | 4.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 1.7 GB | 2.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.9 GB | 1.0 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 18, 2026.
knowme-memory-gate-model-grpo on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Qwen3ForCausalLM
- Context length (tokens)
- 40,960
- Layers
- 28
- Hidden size
- 2,048
- Feed-forward size
- 6,144
- Attention heads
- 16
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 151,936
- Model type
- qwen3
Identity and Version
- Repository
- Longlong418/knowme-memory-gate-model-grpo
- Publisher
- WuXiaolong
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 1.7B parameters
- Languages
- Not stated by the source
- Revision
- 075e3fe2be94b6b195e3c9f0c20a4a566334b32e
- First published
- 2026-10-03
- Last updated
- 2026-10-04
Files and Weights
10 files, 3.5 GB in total. The weights are 1 file totalling 3.4 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 3.4 GB | 3a29d68670ac |
| args.json | Configuration | 29.2 KB | — |
| config.json | Configuration | 1.4 KB | — |
| generation_config.json | Configuration | 214 B | — |
| Modelfile | Other | 6 B | — |
| chat_template.jinja | Other | 4.2 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 11.4 MB | be75606093db |
| tokenizer_config.json | Tokenizer | 903 B | — |
| tokenizer_config.json.bak | Tokenizer | 693 B | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 3.4 GB
Released by WuXiaolong through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 3.4 GB |
| 16-bit | 3.4 GB |
| 8-bit | 1.7 GB |
| 4-bit | 0.9 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About knowme-memory-gate-model-grpo
How much GPU memory does knowme-memory-gate-model-grpo need?
About 4.1 GB at 16-bit and 1 GB at 4-bit: the weights (1.7B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run knowme-memory-gate-model-grpo 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 knowme-memory-gate-model-grpo's context length?
40,960 tokens, from the maximum position embeddings in its published configuration.