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CodeLlama 13B Instruct

旧版
3.5K下载量160点赞Aug 2023发布日期16K tokens上下文Community许可证60 良好质量

CodeLlama 13B Instruct (13B parameters) requires approximately 21.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 26 GB of VRAM.

快速开始

— 复制粘贴即可本地运行

Copy-paste commands to run CodeLlama 13B Instruct on your machine.

Run

lms load CodeLlama-13b-Instruct-hf && lms server start

Quick specs

Parameters13B
Architecturedense
Context16K tokens
Modalitycode
Min RAM5.1 GB
Rec. RAM7.9 GB (Q4_K_M)
LicenseCommunity
FamilyCodeLlama
Code

About this model

Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 13 instruct-tuned version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.

  • [x] Code completion
  • [x] Instructions / chat
  • [ ] Python specialist

相关模型

你的硬件

检测中...

快速推荐

最佳硬件

CodeLlama 13B Instruct 的最佳选择

运行此模型

量化选项

各量化级别的 VRAM 估算

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
5.1 GB
Low
Q3_K_S
3
6.4 GB
Low
NVFP4
4
7.3 GB
Medium
Q4_K_M
4
7.9 GB
Medium
Q5_K_M
5
9.4 GB
High
Q6_K
6
10.7 GB
High
Q8_0
8
13.9 GB
Very High
F16
16
26.7 GB
Maximum

Quality benchmarks

CodeLlama 13B Instruct benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+42.7%
Aider Polyglot
LiveCodeBench

Source: official · 2023-08-24

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights7.9 GB
KV Cache12.2 GB
Runtime1.2 GB
Headroom0.6 GB

常见问题

FAQ — CodeLlama 13B Instruct

另请参阅