AlfredPros: CodeLLaMa 7B Instruct Solidity

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Author's Description

A finetuned 7 billion parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finetuning provided by PEFT library.

Key Specifications
Cost
$$$
Context
4K
Parameters
7B
Released
Apr 14, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Seed Min P Top P Max Tokens Frequency Penalty Temperature Presence Penalty
Performance Summary

AlfredPros: CodeLLaMa 7B Instruct Solidity, created on April 14, 2025, demonstrates exceptional speed and competitive pricing. It consistently ranks among the fastest models and offers among the most competitive pricing across all 8 benchmarks. However, its accuracy across various benchmarks is notably low. The model struggles significantly in core areas such as General Knowledge, Ethics, Mathematics, Instruction Following, and Coding, where it achieved 0.0% accuracy. Its performance in Hallucinations (30.0% accuracy) and Email Classification (32.0% accuracy) is also very low, placing it in the 4th and 6th percentiles respectively. Reasoning shows a minimal 2.0% accuracy. While the model is designed for Solidity smart contract generation, its foundational performance across these general benchmarks suggests a lack of broad understanding and instruction following capabilities. Its primary strength lies in its operational efficiency, being both fast and cost-effective, but this is currently not matched by its accuracy in the tested domains.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.8
Completion $1.2

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Featherless
Featherless | alfredpros/codellama-7b-instruct-solidity 4K $0.8 / 1M tokens $1.2 / 1M tokens
Parasail
Parasail | alfredpros/codellama-7b-instruct-solidity 8K $0.8 / 1M tokens $1.2 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration