What are the hardware requirements for Cpt 16B Auto Sft Ties Post Merge Auto DPO?

Cpt 16B Auto Sft Ties Post Merge Auto DPO requires approximately 141.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cpt 16B Auto Sft Ties Post Merge Auto DPO and how large is it?

Cpt 16B Auto Sft Ties Post Merge Auto DPO is developed by arcee-ai, a model with 16b 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 Cpt 16B Auto Sft Ties Post Merge Auto DPO?

Cpt 16B Auto Sft Ties Post Merge Auto DPO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cpt 16B Auto Sft Ties Post Merge Auto DPO by arcee-ai — VRAM 141.2GB, 8K context

Name: Cpt 16B Auto Sft Ties Post Merge Auto DPO
Author: arcee-ai

Cpt 16B Auto Sft Ties Post Merge Auto DPO is an open-source language model by arcee-ai. Features: 16b LLM, VRAM: 141.2GB, Context: 8K, Merged, LLM Explorer Score: 0.13.

Merged Model Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/arcee-ai/cpt-16B-auto-sft-ties-post-merge-auto-dpo

Cpt 16B Auto Sft Ties Post Merge Auto DPO Parameters and Internals

LLM Name	Cpt 16B Auto Sft Ties Post Merge Auto DPO
Repository 🤗	https://huggingface.co/arcee-ai/cpt-16B-auto-sft-ties-post-merge-auto-dpo
Merged Model	Yes
Model Size	16b
Required VRAM	141.2 GB
Updated	2026-05-30
Maintainer	arcee-ai
Model Type	llama
Model Files	4.0 GB: 1-of-37 3.6 GB: 2-of-37 3.9 GB: 3-of-37 3.9 GB: 4-of-37 3.9 GB: 5-of-37 3.7 GB: 6-of-37 3.9 GB: 7-of-37 3.9 GB: 8-of-37 3.9 GB: 9-of-37 3.7 GB: 10-of-37 3.9 GB: 11-of-37 3.9 GB: 12-of-37 3.9 GB: 13-of-37 3.7 GB: 14-of-37 3.9 GB: 15-of-37 3.9 GB: 16-of-37 3.9 GB: 17-of-37 3.7 GB: 18-of-37 3.9 GB: 19-of-37 3.9 GB: 20-of-37 3.9 GB: 21-of-37 3.7 GB: 22-of-37 3.9 GB: 23-of-37 3.9 GB: 24-of-37 3.9 GB: 25-of-37 3.7 GB: 26-of-37 3.9 GB: 27-of-37 3.9 GB: 28-of-37 3.9 GB: 29-of-37 3.7 GB: 30-of-37 3.9 GB: 31-of-37 3.9 GB: 32-of-37 3.9 GB: 33-of-37 3.7 GB: 34-of-37 3.9 GB: 35-of-37 3.9 GB: 36-of-37 2.6 GB: 37-of-37
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Cpt 16B Auto Sft Ties Post Merge Auto DPO capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Cpt 16B Auto Sft Ties Post Merge Auto DPO

Best Alternatives	Context / RAM	Downloads	Likes
...r SMB R1 Distill Llama 3.1 16B	128K / 32 GB	6	1
Phi 3.5 Mini Investigator 16B	128K / 7.6 GB	7	0
...aid Blackroot Grand HORROR 16B	8K / 33.8 GB	14	0
...aid Blackroot Grand HORROR 16B	8K / 33.8 GB	30	0
Nanbeige2 16B Chat	4K / 31.6 GB	9881	0
Nanbeige 16B Base Llama	4K / 31.6 GB	9946	4
...ALAXY V03 Slimorca 1 Epoch 50k	4K / 31.8 GB	80	0
...ca 1 Epoch 50k DPO 1 Epoch 30k	4K / 31.8 GB	78	0
GALAXY XB V.03	4K / 31.9 GB	81	0
Llama 2 16B Nastychat	4K / 32.4 GB	1779	11

Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/cpt-16B-auto-sft-ties-post-merge-auto-dpo.