What are the hardware requirements for Deepseek Coder 6.7B Instruct GGUF?

Deepseek Coder 6.7B Instruct GGUF requires approximately 2.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Coder 6.7B Instruct GGUF and how large is it?

Deepseek Coder 6.7B Instruct GGUF is developed by second-state, a model with 7b 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 Coder 6.7B Instruct GGUF?

Deepseek Coder 6.7B Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Coder 6.7B Instruct GGUF by second-state — VRAM 2.5GB, 16K context

Name: Deepseek Coder 6.7B Instruct GGUF
Author: second-state

Deepseek Coder 6.7B Instruct GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 2.5GB, Context: 16K, License: other, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.11.

Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Codegen Conversational Gguf Instruct Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Deepseek-Coder-6.7B-Instruct-GGUF

Deepseek Coder 6.7B Instruct GGUF Parameters and Internals

Model Type

deepseek

LLM Name	Deepseek Coder 6.7B Instruct GGUF
Repository 🤗	https://huggingface.co/second-state/Deepseek-Coder-6.7B-Instruct-GGUF
Model Name	Deepseek Coder 6.7B Instruct
Model Creator	DeepSeek
Base Model(s)	deepseek-ai/deepseek-coder-6.7b-instruct deepseek-ai/deepseek-coder-6.7b-instruct
Model Size	7b
Required VRAM	2.5 GB
Updated	2026-07-26
Maintainer	second-state
Model Type	deepseek
Instruction-Based	Yes
Model Files	2.5 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.34.1
Vocabulary Size	32256
Torch Data Type	bfloat16

Rank the Deepseek Coder 6.7B Instruct GGUF 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

Best Alternatives to Deepseek Coder 6.7B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...ruct Solidity Bnb 4bit Smashed	16K / 4.2 GB	6	0
...B Instruct Hf Bnb 4bit Smashed	16K / 4.2 GB	6	0
CodelLama7B Inst DPO 7K Mlx	16K / 4.2 GB	49	4
...eLlama 7B Instruct Hf 4bit MLX	16K / 4.2 GB	84	3
...6.7B Instruct 8.0bpw H8 EXL2 2	16K / 6.8 GB	7	2
...6.7B Instruct 3.0bpw H6 EXL2 2	16K / 2.8 GB	8	1
... 7B Instruct Nf4 Fp16 Upscaled	16K / 13.5 GB	9	0
CodeLlama 7B Instruct Fp16	16K / 13.5 GB	24	7
...Llama 7B Instruct Bf16 Sharded	16K / 13.5 GB	29	1
...B Instruct V1.5 6.0bpw H6 EXL2	4K / 5.7 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than second-state/Deepseek-Coder-6.7B-Instruct-GGUF.