What are the hardware requirements for Awakening Goedel V2 32B Sft?

Awakening Goedel V2 32B Sft requires approximately 65.8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Awakening Goedel V2 32B Sft and how large is it?

Awakening Goedel V2 32B Sft is developed by juihuichung, a model with 32b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Awakening Goedel V2 32B Sft?

Awakening Goedel V2 32B Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Awakening Goedel V2 32B Sft by juihuichung — VRAM 65.8GB, 40K context

Name: Awakening Goedel V2 32B Sft
Author: juihuichung

Awakening Goedel V2 32B Sft is an open-source language model by juihuichung. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-32b Capability-collapse Conversational Endpoints compatible Lean4 Qwen3 Region:us Safetensors Sharded Tensorflow Theorem-proving Tool-use

Model Card on HF 🤗: https://huggingface.co/juihuichung/awakening-goedel-v2-32b-sft

Awakening Goedel V2 32B Sft Parameters and Internals

LLM Name	Awakening Goedel V2 32B Sft
Repository 🤗	https://huggingface.co/juihuichung/awakening-goedel-v2-32b-sft
Base Model(s)	Qwen3 32B Qwen/Qwen3-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-13
Maintainer	juihuichung
Model Type	qwen3
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Awakening Goedel V2 32B Sft 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 Awakening Goedel V2 32B Sft

Best Alternatives	Context / RAM	Downloads	Likes
...ll Qwen3 32B Preview7 QAT 200K	195K / 65.8 GB	10	3
...ll Qwen3 32B Preview6 QAT 200K	195K / 65.8 GB	6	2
...ll Qwen3 32B Preview4 QAT 200K	195K / 65.8 GB	13	2
Qwen3 32B AWorld	128K / 65.8 GB	37	15
Qwen3 32B	40K / 65.8 GB	5411	15
Qwen3 32B	40K / 65.6 GB	6155624	715
Awakening Goedel V2 32B Rl	40K / 65.8 GB	565	0
OpenThinkerAgent 32B	40K / 65.8 GB	9022	9
Qwen3 Swallow 32B SFT V0.2	40K / 65.6 GB	24411	0
...gy GPT Regulatorio 32B Safe V2	40K / 131.6 GB	205	0

Note: green Score (e.g. "73.2") means that the model is better than juihuichung/awakening-goedel-v2-32b-sft.