Capabilities
7-day heat trend
−30.3%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 15% of tracked models
- Faster than 41% of tracked models
- Efficiency rank: #868 of 1105
Best suited for
Code generation, refactoring and review, and developer-tooling workloads with large context.
About codellama-7b-instruct-solidity
A finetuned 7 billion parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finetuning provided by PEFT library.
codellama-7b-instruct-solidity is a Code model from Alfredpros (US). HotON.ai tracks it at $0.80 per 1M input tokens and $1.20 per 1M output tokens, with a 4K-token context window, ~143 tokens/sec throughput and 96.5% availability. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
Compare codellama-7b-instruct-solidity
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Frequently asked questions
How much does codellama-7b-instruct-solidity cost per 1M tokens?+
codellama-7b-instruct-solidity is tracked at $0.80 per 1M input tokens and $1.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.10 per 1M tokens. Figures are illustrative demo data.
What is codellama-7b-instruct-solidity best for?+
Code generation, refactoring and review, and developer-tooling workloads with large context.
How fast is codellama-7b-instruct-solidity?+
codellama-7b-instruct-solidity delivers about 143 tokens/sec with 96.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is codellama-7b-instruct-solidity cheaper than other AI models?+
Within the HotON.ai tracked set, codellama-7b-instruct-solidity is cheaper than 15% of models on input price and ranks #868 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.