What are the hardware requirements for Cdn 2nd Iteration Kto 300sm 3ep Merged?

Cdn 2nd Iteration Kto 300sm 3ep Merged requires approximately 44.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cdn 2nd Iteration Kto 300sm 3ep Merged and how large is it?

Cdn 2nd Iteration Kto 300sm 3ep Merged is developed by braginpawel, a model with 22.2b 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 Cdn 2nd Iteration Kto 300sm 3ep Merged?

Cdn 2nd Iteration Kto 300sm 3ep Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cdn 2nd Iteration Kto 300sm 3ep Merged by braginpawel — VRAM 44.7GB, 32K context

Name: Cdn 2nd Iteration Kto 300sm 3ep Merged
Author: braginpawel

Cdn 2nd Iteration Kto 300sm 3ep Merged is an open-source language model by braginpawel. Features: 22.2b LLM, VRAM: 44.7GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.17.

Autotrain compatible Base model:braginpawel/cdn-1st... Base model:finetune:braginpawe... Conversational En Endpoints compatible Kto Mistral Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/braginpawel/cdn-2nd-iteration-kto-300sm-3ep-merged

Cdn 2nd Iteration Kto 300sm 3ep Merged Parameters and Internals

LLM Name	Cdn 2nd Iteration Kto 300sm 3ep Merged
Repository 🤗	https://huggingface.co/braginpawel/cdn-2nd-iteration-kto-300sm-3ep-merged
Base Model(s)	...Iteration DPO 700sm 3ep Merged braginpawel/cdn-1st-iteration-dpo-700sm-3ep-merged
Model Size	22.2b
Required VRAM	44.7 GB
Updated	2025-09-06
Maintainer	braginpawel
Model Type	mistral
Model Files	4.9 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 4.9 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 4.9 GB: 7-of-9 5.0 GB: 8-of-9 5.0 GB: 9-of-9
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	LlamaTokenizer
Padding Token	[control_748]
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Cdn 2nd Iteration Kto 300sm 3ep Merged capabilities

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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

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