# qwen3-4b-rar-medicine…seed11-step-003 by [HYU_NLP] EVA Team Source: https://savrn.com/models/qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003 Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Runs On What it takes to serve qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003 (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](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 8-bit | 4.0 GB | 4.8 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 4-bit | 2.0 GB | 2.4 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/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](https://savrn.com/ai-index/pricing/gpus), read Oct 7, 2026. [qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003 on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003/gpus) ## Model Card By [HYU_NLP] EVA Team, published under apache-2.0, revision ab078c7e03e6. Intermediate policy from dynamic OnlineRubrics-Every GRPO training. Distinct from static-rubric GRPO. Base model: Qwen/Qwen3-4B-Instruct-2507; thinking disabled. This checkpoint is a policy state used by the Phase-1 audit. No downstream medical capability or safety claim is made. Research use only; not validated for clinical decision-making. Root files are the veRL-exported Hugging Face inference model (BF16). originalcheckpoint/ preserves the exact original FSDP parameter checkpoint and tokenizer/configuration files. Optimizer state, training data, responses, rubrics, infrastructure configuration, and credentials are not included. The original is retained because export… Read [HYU_NLP] EVA Team's full model card ### OnlineRubrics RaR-Medicine: step 3, seed 11 Intermediate policy from dynamic OnlineRubrics-Every GRPO training. Distinct from static-rubric GRPO. Base model: Qwen/Qwen3-4B-Instruct-2507; thinking disabled. This checkpoint is a policy state used by the Phase-1 audit. No downstream medical capability or safety claim is made. Research use only; not validated for clinical decision-making. Root files are the veRL-exported Hugging Face inference model (BF16). original_checkpoint/ preserves the exact original FSDP parameter checkpoint and tokenizer/configuration files. Optimizer state, training data, responses, rubrics, infrastructure configuration, and credentials are not included. The original is retained because export precision/serialization differs. Base model revision: cdbee75f17c01a7cc42f958dc650907174af0554 Original actor tree SHA256: c2dd930f30c54f9b962b0cc17669871a89d1e71f2abcb748cf38fe115a53eddb ## 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-seed11-step-003 Publisher [HYU_NLP] EVA Team Task Text generation Modality Text Library transformers Parameters 4B parameters Languages rar-medicine Revision ab078c7e03e6ed98aaadf939d58c5a5a8c9fcddf First published 2026-09-09 Last updated 2026-09-23 ## Files and Weights 17 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 · 6.3 KB Tokenizer4 files · 22.8 MB Documentation2 files · 12.4 KB Other2 files · 5.3 KB Repository1 file · 1.7 KB Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | model.safetensors | Weights | 8.0 GB | 611f3d77ab8e | | original_checkpoint/actor/model_world_size_1_rank_0.pt | Weights | 17.6 GB | 71ce7cf84fbf | | archive_manifest.json | Configuration | 2.6 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 | — | | LICENSE | Documentation | 11.3 KB | — | | README.md | Documentation | 1.1 KB | — | | 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](https://huggingface.co/HYU-NLP-EVAL/qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003) Released by [HYU_NLP] EVA Team through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0). ## Built From - Derived from [Qwen/Qwen3-4B-Instruct-2507](https://savrn.com/models/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-seed11-step-003 ### How much GPU memory does qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003 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-seed11-step-003 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-seed11-step-003 commercially? Yes. qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003 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-seed11-step-003's context length? 262,144 tokens, from the maximum position embeddings in its published configuration. ## Similar Models Model · Text generation ### [Qwen3-4B](https://savrn.com/models/qwen3-4b) [Qwen](https://savrn.com/model-publishers/qwen) 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… Open weights apache-2.0 4B parameters 40,960 tokens transformers [View model](https://savrn.com/models/qwen3-4b) Model · Text generation ### [Qwen3-4B-Instruct-2507](https://savrn.com/models/qwen3-4b-instruct-2507) [Qwen](https://savrn.com/model-publishers/qwen) We introduce the updated version of the Qwen3-4B non-thinking mode, named Qwen3-4B-Instruct-2507, featuring the following key enhancements: - Significant improvements in general capabilities, including instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage. - Substantial gains in long-tail knowledge coverage across multiple languages. - Markedly better alignment with user preferences in subjective and open-ended tasks, enabling more helpful responses and higher-quality text generation. - Enhanced capabilities in 256K long-context understanding. Qwen3-4B-Instruct-2507 has the following features: NOTE: This model supports only non-thinking… Open weights apache-2.0 4B parameters 262,144 tokens transformers [View model](https://savrn.com/models/qwen3-4b-instruct-2507) Model · Text generation ### [Qwen3-4B-Base](https://savrn.com/models/qwen3-4b-base) [Qwen](https://savrn.com/model-publishers/qwen) Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following key improvements over the previously released Qwen2.5: Qwen3-4B-Base has the following features: For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our blog, GitHub, and Documentation. 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The deterministic pre-filter and policy firewall is available directly as a verified Action Provider for the Coinbase AgentKit framework: Register RiskGateActionProvider as the payment provider on your AgentKit instance. It checks chain support, policies, and peg deviations, executing safe ERC-20 transfers only after… Open weights apache-2.0 4B parameters 262,144 tokens transformers [View model](https://savrn.com/models/sra-riskgate-4b) Model · Text generation ### [kas-4b](https://savrn.com/models/kas-4b) [Kashav Piya](https://savrn.com/model-publishers/kpiya) A fine-tuned decision engine based on Qwen/Qwen3-4B, submitted to the Decision Index v0.2.1 leaderboard. Decision Index: 40.1 (raw 54.18) — above Tev1-4B (29.2), within 6 points of Scion v4 9B (45.9). Per-area breakdown against all 4B submissions on Decision Index 0.2.1. kas-4b leads the 4B tier on: - Knowledge & Reasoning (39.5) — highest of all 4B models; higher LoRA rank (r64) likely helps on harder reasoning tasks - Arts & Human Taste (37.7) — highest of all 4B models by a wide margin - Language Understanding (35.2) — 13–25 points behind ezjev and Nox; language-heavy fine-tuning data favors those models - Tools & Automation (49.0) — behind ezjev (69.9) and Nox (60.1) Profile: the most… Open weights apache-2.0 4B parameters 40,960 tokens [View model](https://savrn.com/models/kas-4b) ## [HYU_NLP] EVA Team [All models and datasets](https://savrn.com/model-publishers/hyu-nlp-eval) ## Versions - [ab078c7e03e6](https://savrn.com/models/qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003/versions/ab078c7e03e6) · current 2026-09-23 ## Explore More - [All text generation models](https://savrn.com/models/tasks/text-generation) - [All models under apache-2.0](https://savrn.com/models/licenses/apache-2-0) - [Model comparisons](https://savrn.com/models/comparisons) - [The model directory](https://savrn.com/models) - [Open model prices by host](https://savrn.com/ai-index/pricing/open-models) ## Source - Repository metadata, read 2026-09-23. - [Hugging Face record](https://huggingface.co/HYU-NLP-EVAL/qwen3-4b-rar-medicine-onlinerubrics-seed11-step-003) - [How the hub is built](https://savrn.com/model-hub/methodology)