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

Deepseek Coder 6.7B Base AWQ requires approximately 3.9 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 AWQ and how large is it?

Deepseek Coder 6.7B Base AWQ is developed by ig1, 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 AWQ?

Deepseek Coder 6.7B Base AWQ 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 AWQ by ig1 — VRAM 3.9GB, 16K context

Name: Deepseek Coder 6.7B Base AWQ
Author: ig1

Deepseek Coder 6.7B Base AWQ is an open-source language model by ig1. Features: 6.7b LLM, VRAM: 3.9GB, Context: 16K, Quantized, Code Generating.

4-bit Autotrain compatible Awq Codegen Endpoints compatible Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ig1/deepseek-coder-6.7b-base-awq

Deepseek Coder 6.7B Base AWQ Parameters and Internals

LLM Name	Deepseek Coder 6.7B Base AWQ
Repository 🤗	https://huggingface.co/ig1/deepseek-coder-6.7b-base-awq
Base Model(s)	deepseek-ai/deepseek-coder-6.7b-base deepseek-ai/deepseek-coder-6.7b-base
Model Size	6.7b
Required VRAM	3.9 GB
Updated	2024-07-04
Maintainer	ig1
Model Type	llama
Model Files	3.9 GB
AWQ Quantization	Yes
Quantization Type	awq
Generates Code	Yes
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	float16

Rank the Deepseek Coder 6.7B 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 Coder 6.7B Base AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...epseek Coder 6.7B Instruct AWQ	16K / 3.9 GB	291702	19
Deepseek Coder 6.7B Base AWQ	16K / 3.9 GB	16513	10
...rpreter DS 6.7B 6.0bpw H6 EXL2	16K / 5.2 GB	5	2
...rpreter DS 6.7B 8.0bpw H8 EXL2	16K / 6.9 GB	3	2
...rpreter DS 6.7B 4.0bpw H6 EXL2	16K / 3.6 GB	1	1
...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

Note: green Score (e.g. "73.2") means that the model is better than ig1/deepseek-coder-6.7b-base-awq.