What are the hardware requirements for SuperThoughts CoT 14B 16K O1 QwQ PyTorch?

SuperThoughts CoT 14B 16K O1 QwQ PyTorch requires approximately 29.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SuperThoughts CoT 14B 16K O1 QwQ PyTorch and how large is it?

SuperThoughts CoT 14B 16K O1 QwQ PyTorch is developed by Pinkstack, a model with 14b 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 SuperThoughts CoT 14B 16K O1 QwQ PyTorch?

SuperThoughts CoT 14B 16K O1 QwQ PyTorch is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SuperThoughts CoT 14B 16K O1 QwQ PyTorch by Pinkstack — VRAM 29.4GB, 16K context

Name: SuperThoughts CoT 14B 16K O1 QwQ PyTorch
Author: Pinkstack

SuperThoughts CoT 14B 16K O1 QwQ PyTorch is an open-source language model by Pinkstack. Features: 14b LLM, VRAM: 29.4GB, Context: 16K, License: mit, Quantized, LLM Explorer Score: 0.16.

Arxiv:2412.08905 4bit Autotrain compatible Chat Code Conversational En Endpoints compatible Llama Math Phi Phi3 Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ-PyTorch

SuperThoughts CoT 14B 16K O1 QwQ PyTorch Parameters and Internals

LLM Name	SuperThoughts CoT 14B 16K O1 QwQ PyTorch
Repository 🤗	https://huggingface.co/Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ-PyTorch
Model Size	14b
Required VRAM	29.4 GB
Updated	2025-01-16
Maintainer	Pinkstack
Model Type	llama
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	mit
Context Length	16384
Model Max Length	16384
Transformers Version	4.47.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	float16

Rank the SuperThoughts CoT 14B 16K O1 QwQ PyTorch 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 SuperThoughts CoT 14B 16K O1 QwQ PyTorch

Best Alternatives	Context / RAM	Downloads	Likes
Parm 2 CoT 14B 16K O1 QwQ	16K / 29.4 GB	18	7
Phi 4 14B Grpo Gsm8k 3e	16K / 29.4 GB	8	0
Phi 4 14B Grpo Limo	16K / 29.4 GB	7	0
...perThoughts CoT 14B 16K O1 QwQ	16K / 29.4 GB	265	6
Heliars Phi4 Carla X1 14B	16K / 29.4 GB	3	2
CausalLM 14B EXL2	8K / 8.5 GB	8	3
...struct 2512 Llamafied TextOnly	256K / 27 GB	9	3
...Qwen2.5llamaify 14B V23.3 200K	195K / 29.7 GB	10	5
...Qwen2.5llamaify 14B V23.1 200K	195K / 29.7 GB	15	1
GeM2 Llamion 14B LongChat	195K / 29 GB	7915	4

Note: green Score (e.g. "73.2") means that the model is better than Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ-PyTorch.