LLM Reference

CodeLlama 7B Instruct

Released
2023-08-24
Last refreshed
2026-07-09
Status
Researched 253d ago
Open weightsCommercial use: conditional

CodeLlama 7B Instruct is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 16k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2023-08-24
Context
16k
Parameters
7B
Architecture
Decoder Only
Knowledge cutoff
2022-09
Specialization
general
Openness
Open weights
License
Llama 2 CommunityCommercial use: conditional
Weights
Available
Code
Unknown
Training
Fine-tuned
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.200
Input / 1M
$0.200

Cheapest of 1 route · Fireworks AI

About

CodeLlama 7B Instruct is a specialized variant of Meta's CodeLlama family, designed for code synthesis and understanding tasks. With 7 billion parameters, it excels in code completion, infilling, and following instructions, particularly in Python programming. The model has been fine-tuned to generate code based on user prompts, ensuring safer and more reliable outputs. It's part of a broader collection ranging from 7B to 34B parameters, trained on a diverse dataset for handling various coding tasks effectively. AI engineers can leverage this model to integrate advanced code generation capabilities into their applications, enhancing productivity in software development.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.200$0.200
Serverless

Available via routers & gateways(1)

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.