What are the hardware requirements for Yi Coder 9B Chat?

Yi Coder 9B Chat requires approximately 17.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi Coder 9B Chat and how large is it?

Yi Coder 9B Chat is developed by 01-ai, a model with 9b 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 Yi Coder 9B Chat?

Yi Coder 9B Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi Coder 9B Chat by 01-ai — VRAM 17.7GB, 128K context

Name: Yi Coder 9B Chat
Author: 01-ai

Yi Coder 9B Chat is an open-source language model by 01-ai. Features: 9b LLM, VRAM: 17.7GB, Context: 128K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.23.

Arxiv:2403.04652 Base model:01-ai/yi-coder-9b Base model:finetune:01-ai/yi-c... Codegen Conversational Deploy:azure Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/01-ai/Yi-Coder-9B-Chat

Yi Coder 9B Chat Parameters and Internals

Model Type

code language model

Use Cases

Areas:

Research, Commercial Applications

Applications:

Software Development, Code Generation

Primary Use Cases:

Code Assistance, Programming Tasks

Supported Languages

java (proficient), markdown (proficient), python (proficient), php (proficient), javascript (proficient), c++ (proficient), c# (proficient), c (proficient), typescript (proficient), html (proficient), go (proficient), java_server_pages (proficient), dart (proficient), objective-c (proficient), kotlin (proficient), tex (proficient), swift (proficient), ruby (proficient), sql (proficient), rust (proficient), css (proficient), yaml (proficient), matlab (proficient), lua (proficient), json (proficient), shell (proficient), visual_basic (proficient), scala (proficient), rmarkdown (proficient), pascal (proficient), fortran (proficient), haskell (proficient), assembly (proficient), perl (proficient), julia (proficient), cmake (proficient), groovy (proficient), ocaml (proficient), powershell (proficient), elixir (proficient), clojure (proficient), makefile (proficient), coffeescript (proficient), erlang (proficient), lisp (proficient), toml (proficient), batchfile (proficient), cobol (proficient), dockerfile (proficient), r (proficient), prolog (proficient), verilog (proficient)

Training Details

Context Length:

128000

Input Output

Input Format:

chat template with role and content

Accepted Modalities:

text

Output Format:

text response

Performance Tips:

Using GPUs is recommended for better performance.

LLM Name	Yi Coder 9B Chat
Repository 🤗	https://huggingface.co/01-ai/Yi-Coder-9B-Chat
Base Model(s)	Yi Coder 9B 01-ai/Yi-Coder-9B
Model Size	9b
Required VRAM	17.7 GB
Updated	2026-09-10
Maintainer	01-ai
Model Type	llama
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.8 GB: 4-of-4
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Yi Coder 9B Chat 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 Yi Coder 9B Chat

Best Alternatives	Context / RAM	Downloads	Likes
Yi Coder 9B	128K / 17.7 GB	8697	46
Llm4decompile 9B V2	128K / 17.7 GB	204	24
CursorCore Yi 9B	128K / 17.7 GB	6	1
Yi Coder 9B Chat Instruct TIES	128K / 17.7 GB	25	0