What are the hardware requirements for Deepseek Coder 6.7B Base FP8?

Deepseek Coder 6.7B Base FP8 requires approximately 7 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 Base FP8 and how large is it?

Deepseek Coder 6.7B Base FP8 is developed by liodon-ai, a model with 6.7b 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 Base FP8?

Deepseek Coder 6.7B Base FP8 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 Base FP8 by liodon-ai — VRAM 7GB, 16K context

Name: Deepseek Coder 6.7B Base FP8
Author: liodon-ai

Deepseek Coder 6.7B Base FP8 is an open-source language model by liodon-ai. Features: 6.7b LLM, VRAM: 7GB, Context: 16K, License: other, Code Generating.

Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Codegen Compressed-tensors Endpoints compatible Fp8 Llama Quantized Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/liodon-ai/deepseek-coder-6.7b-base-FP8

Deepseek Coder 6.7B Base FP8 Parameters and Internals

LLM Name	Deepseek Coder 6.7B Base FP8
Repository 🤗	https://huggingface.co/liodon-ai/deepseek-coder-6.7b-base-FP8
Base Model(s)	deepseek-ai/deepseek-coder-6.7b-base deepseek-ai/deepseek-coder-6.7b-base
Model Size	6.7b
Required VRAM	7 GB
Updated	2026-10-17
Maintainer	liodon-ai
Model Type	llama
Model Files	7.0 GB
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256

Rank the Deepseek Coder 6.7B Base FP8 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 Coder 6.7B Base FP8

Best Alternatives	Context / RAM	Downloads	Likes
...Deepseek Coder 6.7B Energy Sft	16K / 13.5 GB	261	0
Deepseek Coder 6.7B Base	16K / 13.5 GB	54216	124
Speechless Coder Ds 6.7B	16K / 13.5 GB	459	7
...s Coder6.7b Reflct Adamw Iter1	16K / 13.5 GB	475	0
...Coder6.7b Reflct Rmsprop Iter1	16K / 13.5 GB	95	0
...Coder6.7b Reflct Rmsprop Iter1	16K / 13.5 GB	110	0
...r6.7b Pos Reflct Rmsprop Iter1	16K / 13.5 GB	87	0
Code 290K 6.7B Instruct	16K / 13.5 GB	87	6
...ir4 Ds Coder6.7b Rmsprop Iter1	16K / 13.5 GB	43	0
...r6.7b Pos Reflct Rmsprop Iter1	16K / 13.5 GB	90	0

Note: green Score (e.g. "73.2") means that the model is better than liodon-ai/deepseek-coder-6.7b-base-FP8.