What are the hardware requirements for Deepseek Llm 67B Base AWQ?

Deepseek Llm 67B Base AWQ requires approximately 37.5 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 Deepseek Llm 67B Base AWQ and how large is it?

Deepseek Llm 67B Base AWQ is developed by TheBloke, a model with 67b 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 Deepseek Llm 67B Base AWQ?

Deepseek Llm 67B Base AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Llm 67B Base AWQ by TheBloke — VRAM 37.5GB, 4K context

Name: Deepseek Llm 67B Base AWQ
Author: TheBloke

Deepseek Llm 67B Base AWQ is an open-source language model by TheBloke. Features: 67b LLM, VRAM: 37.5GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/deepseek-llm-67b-base-AWQ

Deepseek Llm 67B Base AWQ Parameters and Internals

Model Type

Additional Notes

DeepSeek LLM supports commercial use.

Supported Languages

english (high), chinese (high)

Training Details

Data Volume:

2 trillion tokens

Model Architecture:

Grouped-Query Attention

Input Output

Input Format:

{prompt}

LLM Name	Deepseek Llm 67B Base AWQ
Repository 🤗	https://huggingface.co/TheBloke/deepseek-llm-67b-base-AWQ
Model Name	Deepseek LLM 67B Base
Model Creator	DeepSeek
Base Model(s)	Deepseek Llm 67B Base deepseek-ai/deepseek-llm-67b-base
Model Size	67b
Required VRAM	37.5 GB
Updated	2026-08-04
Maintainer	TheBloke
Model Type	llama
Model Files	10.0 GB: 1-of-4 9.9 GB: 2-of-4 10.0 GB: 3-of-4 7.6 GB: 4-of-4
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	float16

Rank the Deepseek Llm 67B Base AWQ 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 Deepseek Llm 67B Base AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Llm 67B Chat AWQ	4K / 37.5 GB	129	5
...uddy Deepseek 67B V15 Base AWQ	4K / 37.5 GB	7	0
...67B Spicy 3.1 1 5.0bpw H6 EXL2	4K / 43.7 GB	5	1
...ek Llm 67B Chat 2.4bpw H6 EXL2	4K / 22.2 GB	4	2
...ek Llm 67B Chat 3.0bpw H6 EXL2	4K / 27.1 GB	4	1
...k Llm 67B Chat 2.65bpw H6 EXL2	4K / 24.2 GB	3	1
Deepseek Llm 67B Chat	4K / 135 GB	1034	207
...penbuddy Deepseek 67B V18.1 4K	4K / 135 GB	8526	1
Deepseek Llm 67B Base	4K / 135 GB	9029	130
...ddy Deepseek 67B V18.1 4K Gptq	4K / 37.6 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/deepseek-llm-67b-base-AWQ.