What are the hardware requirements for 20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055?

20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055 requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate 20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055?

20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055 by HYU-NLP-EVA2 — VRAM 8.1GB, 256K context

Name: 20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055
Author: HYU-NLP-EVA2

20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055 is an open-source language model by HYU-NLP-EVA2. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational Endpoints compatible Instruct Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/HYU-NLP-EVA2/20261017_rar-medicine_online_qwen3-4b_norm3200_impl-verl_s42_step-055

20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055 Parameters and Internals

LLM Name	20261017 Rar Medicine Online Qwen3 4b Norm3200 Impl Verl S42 Step 055
Repository 🤗	https://huggingface.co/HYU-NLP-EVA2/20261017_rar-medicine_online_qwen3-4b_norm3200_impl-verl_s42_step-055
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-10-22
Maintainer	HYU-NLP-EVA2
Model Type	qwen3
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-3 4.0 GB: 2-of-3 0.1 GB: 3-of-3
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.10.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the 20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to 20261017 Rar Medicine Online Qwen3 4B Norm3200 Impl Verl S42 Step 055

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Dwight 4B	256K / 8.1 GB	374	10
Qwen3 4B Deslop V4	256K / 8.1 GB	128	8
SRA RiskGate 4B	256K / 8 GB	2662	1
...orm3200 Impl Verl S11 Step 039	256K / 8.1 GB	391	1
...orm3200 Impl Verl S11 Step 062	256K / 8.1 GB	358	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...Extractor V5 Bf16 42d582a35d2f	256K / 8.1 GB	161	1
NEIRA HF1 4B	256K / 8 GB	288	0

Note: green Score (e.g. "73.2") means that the model is better than HYU-NLP-EVA2/20261017_rar-medicine_online_qwen3-4b_norm3200_impl-verl_s42_step-055.