What are the hardware requirements for Hydraulic Deepseek 16bit?

Hydraulic Deepseek 16bit requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hydraulic Deepseek 16bit and how large is it?

Hydraulic Deepseek 16bit is developed by pbdto, 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 Hydraulic Deepseek 16bit?

Hydraulic Deepseek 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hydraulic Deepseek 16bit by pbdto — VRAM 65.8GB, 128K context

Name: Hydraulic Deepseek 16bit
Author: pbdto

Hydraulic Deepseek 16bit is an open-source language model by pbdto. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.

4bit Autotrain compatible Base model:finetune:unsloth/de... Base model:unsloth/deepseek-r1... Conversational En Endpoints compatible Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/pbdto/hydraulic-deepseek-16bit

Hydraulic Deepseek 16bit Parameters and Internals

LLM Name	Hydraulic Deepseek 16bit
Repository 🤗	https://huggingface.co/pbdto/hydraulic-deepseek-16bit
Base Model(s)	...k R1 Distill Qwen 32B Bnb 4bit unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit
Model Size	32b
Required VRAM	65.8 GB
Updated	2025-09-23
Maintainer	pbdto
Model Type	qwen2
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
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.2
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Hydraulic Deepseek 16bit 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 Hydraulic Deepseek 16bit

Best Alternatives	Context / RAM	Downloads	Likes
...Logic Mix 3 32B Mlx OptiQ 5bit	128K / 22.3 GB	41	1
...pSeek R1 Distill Qwen 32B 4bit	128K / 18.5 GB	7795	51
...k R1 Distill Qwen 32B Bnb 4bit	128K / 19.2 GB	2717	29
...till Qwen 32B Abliterated 4bit	128K / 18.5 GB	888	7
QwQ 32B Unsloth Bnb 4bit	128K / 22.5 GB	179	47
...ogito V1 Preview Qwen 32B 4bit	128K / 18.5 GB	43	5
...T1 Flash Lightest 32B Mlx 4Bit	128K / 18.5 GB	231	8
QwQ 32B 4bit	128K / 18.5 GB	132	38
QwQ 32B Bnb 4bit	128K / 19.2 GB	157	4
QwQ 32B 8bit	128K / 34.9 GB	80	14

Note: green Score (e.g. "73.2") means that the model is better than pbdto/hydraulic-deepseek-16bit.