qwen35b-tailsft-sft-step100 is an open-weight model from Yu. It has 36B parameters and a 262,144-token context. At 16-bit it needs about 86.3 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 qwen35b-tailsft-sft-step100 (36B 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 | 71.9 GB | 86.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x MI325X $2.00 · 1x MI355X $2.59 |
| 8-bit | 36.0 GB | 43.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 18.0 GB | 21.6 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 19, 2026.
qwen35b-tailsft-sft-step100 on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Context length (tokens)
- 262,144
- Layers
- 40
- Hidden size
- 2,048
- Attention heads
- 16
- Key/value heads
- 2
- Head dimension
- 256
- Vocabulary size
- 248,320
- Experts
- 256
- Experts active per token
- 8
- Model type
- qwen3_5_moe
Identity and Version
- Repository
- TanYuNVonNV/qwen35b-tailsft-sft-step100
- Publisher
- Yu
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 36B parameters
- Languages
- Not stated by the source
- Revision
- 1e42dc3e30be5390e909f922acee1eab1445ea33
- First published
- 2026-10-04
- Last updated
- 2026-10-04
Files and Weights
22 files, 71.9 GB in total. The weights are 14 files totalling 71.9 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors-00001-of-00014.safetensors | Weights | 5.4 GB | b2fe434f2c87 |
| model.safetensors-00002-of-00014.safetensors | Weights | 5.4 GB | 9ff457a55ab7 |
| model.safetensors-00003-of-00014.safetensors | Weights | 5.4 GB | 139e1fbb2600 |
| model.safetensors-00004-of-00014.safetensors | Weights | 5.4 GB | c9401e8aac20 |
| model.safetensors-00005-of-00014.safetensors | Weights | 5.4 GB | 696b3fbe43ef |
| model.safetensors-00006-of-00014.safetensors | Weights | 5.4 GB | b15dcec7f4a8 |
| model.safetensors-00007-of-00014.safetensors | Weights | 5.4 GB | 70be68f3a457 |
| model.safetensors-00008-of-00014.safetensors | Weights | 5.4 GB | 94a5d2cb4bf0 |
| model.safetensors-00009-of-00014.safetensors | Weights | 5.3 GB | e5e0f2307730 |
| model.safetensors-00010-of-00014.safetensors | Weights | 5.4 GB | df4045cc0588 |
| model.safetensors-00011-of-00014.safetensors | Weights | 5.4 GB | d2d6d81eccca |
| model.safetensors-00012-of-00014.safetensors | Weights | 5.4 GB | e03569b6519c |
| model.safetensors-00013-of-00014.safetensors | Weights | 5.4 GB | ea7f5bc91feb |
| model.safetensors-00014-of-00014.safetensors | Weights | 2.2 GB | 1c0ad975cc06 |
| config.json | Configuration | 3.2 KB | — |
| model.safetensors.index.json | Configuration | 194.7 KB | — |
| preprocessor_config.json | Configuration | 482 B | — |
| processor_config.json | Configuration | 1.3 KB | — |
| chat_template.jinja | Other | 7.8 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 20.0 MB | 87a7830d63fc |
| tokenizer_config.json | Tokenizer | 1.1 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 71.9 GB
Released by Yu through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 71.9 GB |
| 16-bit | 71.9 GB |
| 8-bit | 36.0 GB |
| 4-bit | 18.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About qwen35b-tailsft-sft-step100
How much GPU memory does qwen35b-tailsft-sft-step100 need?
About 86.3 GB at 16-bit and 21.6 GB at 4-bit: the weights (36B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run qwen35b-tailsft-sft-step100 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 qwen35b-tailsft-sft-step100's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.