What are the hardware requirements for Deacon 34B?

Deacon 34B requires approximately 69.2 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deacon 34B and how large is it?

Deacon 34B is developed by KnutJaegersberg, a model with 34b 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 Deacon 34B?

Deacon 34B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deacon 34B by KnutJaegersberg — VRAM 69.2GB, 4K context

Name: Deacon 34B
Author: KnutJaegersberg

Deacon 34B is an open-source language model by KnutJaegersberg. Features: 34b LLM, VRAM: 69.2GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.1.

Dataset:totally-not-an-llm/eve... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/Deacon-34B

Deacon 34B Benchmarks

LLME Score: 0.10288

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Deacon 34B Parameters and Internals

Model Type

text-generation

Additional Notes

This model has been llamafied and uses a llama tokenizer. There's a pun related to the name with the 3b version.

Training Details

Data Sources:

totally-not-an-llm/EverythingLM-data-V3

Methodology:

fine-tuned with NEFTune

Model Architecture:

llama tokenizer

LLM Name	Deacon 34B
Repository 🤗	https://huggingface.co/KnutJaegersberg/Deacon-34B
Model Size	34b
Required VRAM	69.2 GB
Updated	2026-05-05
Maintainer	KnutJaegersberg
Model Type	llama
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	float16

Quantized Models of the Deacon 34B

Model	Likes	Downloads	VRAM
Deacon 34B GGUF	2	378	14 GB
Deacon 34B GPTQ	2	9	18 GB
Deacon 34B AWQ	2	7	19 GB

Best Alternatives to Deacon 34B

Best Alternatives	Context / RAM	Downloads	Likes
Bagel Hermes 34B Slerp	195K / 68.9 GB	8371	1
34B Beta	195K / 69.2 GB	8242	66
Smaug 34B V0.1	195K / 69.2 GB	8421	64
Yi 34B 200K	195K / 68.9 GB	10338	320
Casual Magnum 34B	195K / 68.8 GB	4	1
Bagel 34B V0.2	195K / 68.7 GB	944	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	537	12
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7738	0
Bagel DPO 34B V0.5	195K / 68.7 GB	8213	17
Faro Yi 34B	195K / 69.2 GB	8419	6

Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/Deacon-34B.

Rank the Deacon 34B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Deacon 34B by KnutJaegersberg