Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features: - Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios. - Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and…
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Open-weight model · Text generation
qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004
by [HYU_NLP] EVA Team HYU-NLP-EVAL/qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004
qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004 is an open-weight model for text generation from [HYU_NLP] EVA Team, released under Apache License 2.0. It has 4B parameters and a 262,144-token context. At 16-bit it needs about 9.7 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Run: phase1-online-rubrics-medicine-full-dense-20260919-seed11. The root contains a BF16 model for inference. originalcheckpoint/ contains the original veRL checkpoint files (model parameters only). The local checkpoint remains on disk. Research use only.
Parameters4B
Context262,144
Weights25.7 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—
Runs On
What it takes to serve qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004 (4B 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 | 8.0 GB | 9.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 4.0 GB | 4.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 2.0 GB | 2.4 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 7, 2026.
Model Card
By [HYU_NLP] EVA Team, published under apache-2.0, revision 1fb7b0a95bb3.
Run: phase1-online-rubrics-medicine-full-dense-20260919-seed11. The root contains a BF16 model for inference. originalcheckpoint/ contains the original veRL checkpoint files (model parameters only). The local checkpoint remains on disk. Research use only.
Read [HYU_NLP] EVA Team's full model card
RaR-Medicine OnlineRubrics-Every dense checkpoint, step 4
Run: phase1-online-rubrics-medicine-full-dense-20260919-seed11. The root contains a BF16 model for inference.
original_checkpoint/ contains the original veRL checkpoint files (model parameters only).
The local checkpoint remains on disk. Research use only.
Configuration
- Architecture
- Qwen3ForCausalLM
- Context length (tokens)
- 262,144
- Layers
- 36
- Hidden size
- 2,560
- Feed-forward size
- 9,728
- Attention heads
- 32
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 151,936
- Model type
- qwen3
Identity and Version
- Repository
- HYU-NLP-EVAL/qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004
- Publisher
- [HYU_NLP] EVA Team
- Task
- Text generation
- Modality
- Text
- Library
- transformers
- Parameters
- 4B parameters
- Languages
- Not stated by the source
- Revision
- 1fb7b0a95bb33da50528e83023d3c4db0fdab0a1
- First published
- 2026-10-01
- Last updated
- 2026-10-01
Files and Weights
16 files, 25.7 GB in total. The weights are 2 files totalling 25.7 GB in pt, safetensors.
Weights2 files · 25.7 GB
Configuration6 files · 5.9 KB
Tokenizer4 files · 22.8 MB
Documentation1 file · 447 B
Other2 files · 5.3 KB
Repository1 file · 1.7 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 8.0 GB | 583172133213 |
| original_checkpoint/actor/model_world_size_1_rank_0.pt | Weights | 17.6 GB | 6d423af965c0 |
| archive_manifest.json | Configuration | 2.2 KB | — |
| config.json | Configuration | 1.6 KB | — |
| generation_config.json | Configuration | 213 B | — |
| original_checkpoint/actor/fsdp_config.json | Configuration | 46 B | — |
| original_checkpoint/actor/huggingface/config.json | Configuration | 1.6 KB | — |
| original_checkpoint/actor/huggingface/generation_config.json | Configuration | 213 B | — |
| README.md | Documentation | 447 B | — |
| chat_template.jinja | Other | 2.6 KB | — |
| original_checkpoint/actor/huggingface/chat_template.jinja | Other | 2.6 KB | — |
| .gitattributes | Repository | 1.7 KB | — |
| original_checkpoint/actor/huggingface/tokenizer.json | Tokenizer | 11.4 MB | be75606093db |
| original_checkpoint/actor/huggingface/tokenizer_config.json | Tokenizer | 694 B | — |
| tokenizer.json | Tokenizer | 11.4 MB | be75606093db |
| tokenizer_config.json | Tokenizer | 694 B | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 25.7 GB
Download from [HYU_NLP] EVA Team
Released by [HYU_NLP] EVA Team through its official repository on Hugging Face. Read the license.
Built From
- Derived from Qwen/Qwen3-4B-Instruct-2507
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 25.7 GB |
| 16-bit | 8.0 GB |
| 8-bit | 4.0 GB |
| 4-bit | 2.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004
How much GPU memory does qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004 need?
About 9.7 GB at 16-bit and 2.4 GB at 4-bit: the weights (4B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004 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 qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004 commercially?
Yes. qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004 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.
What is qwen3-4b-rar-medicine-onlinerubrics-dense-seed11-step-004's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.
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