What are the hardware requirements for Deepseek Llm 7B Chat?

Deepseek Llm 7B Chat requires approximately 13.9 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 7B Chat and how large is it?

Deepseek Llm 7B Chat is developed by deepseek-ai, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Deepseek Llm 7B Chat perform on standard benchmarks?

Deepseek Llm 7B Chat has the following published scores: MMLU 44. Compare against reference models on this page or on the LLM Explorer leaderboards.

Deepseek Llm 7B Chat by deepseek-ai — VRAM 13.9GB, 4K context

Name: Deepseek Llm 7B Chat
Author: deepseek-ai

Deepseek Llm 7B Chat is an open-source language model by deepseek-ai. Features: 7b LLM, VRAM: 13.9GB, Context: 4K, License: other, LLM Explorer Score: 0.22, Arc: 42.5, HellaSwag: 56.1, MMLU: 44, GSM8K: 55.6.

Conversational Deploy:azure Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat

Deepseek Llm 7B Chat Parameters and Internals

Model Type

text generation

Additional Notes

The model is open-source, comes with an MIT License for code, and is subject to a separate model license.

Supported Languages

English (fluent), Chinese (fluent)

Training Details

Data Volume:

2 trillion tokens

Methodology:

scratch with fine-tuning

Input Output

Input Format:

structured as chat messages

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Avoid using system prompts as they are not compatible with the model version.

LLM Name	Deepseek Llm 7B Chat
Repository 🤗	https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat
Model Size	7b
Required VRAM	13.9 GB
Updated	2026-08-06
Maintainer	deepseek-ai
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.9 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the Deepseek Llm 7B Chat 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

Quantized Models of the Deepseek Llm 7B Chat

Model	Likes	Downloads	VRAM
Deepseekq	0	70	4 GB
Deepseek Llm 7B Chat GGUF	38	3212	3 GB
Deepseek LLM 7B Chat GGUF	4	816	2 GB
Deepseek Llm 7B Chat AWQ	3	131	4 GB
Deepseekq	0	0	4 GB

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