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CodeLlama 13B Instruct

レガシー
3.5Kダウンロード160いいねAug 2023公開日16K トークンコンテキストCommunityライセンス60 良好品質

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.

はじめに

— コピー&ペーストでローカル実行

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

関連モデル

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おすすめ

最適なハードウェア

CodeLlama 13B Instructのおすすめ

このモデルを実行

量子化オプション

量子化レベル別VRAM推定値

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

ハードウェア互換性

全ハードウェアの適合度推定

カリキュレーターを開く

Computing compatibility...

メモリ内訳

Reference: RTX 2060 6GB

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

よくある質問

FAQ — CodeLlama 13B Instruct

関連項目