Capabilities
7-day heat trend
+0.8%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 97% of tracked models
- Efficiency rank: #857 of 1105
Best suited for
Code generation, refactoring and review, and developer-tooling workloads with large context.
About CodeLlama-7b-Instruct-Solidity-GGUF
Public GGUF conversion of AlfredPros CodeLlama 7B Instruct Solidity for llama.cpp-compatible deployment paths.
CodeLlama-7b-Instruct-Solidity-GGUF is a Code model from AlfredPros (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 4K-token context window, ~172 tokens/sec throughput and 99.7% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare CodeLlama-7b-Instruct-Solidity-GGUF
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Frequently asked questions
How much does CodeLlama-7b-Instruct-Solidity-GGUF cost per 1M tokens?+
CodeLlama-7b-Instruct-Solidity-GGUF is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is CodeLlama-7b-Instruct-Solidity-GGUF best for?+
Code generation, refactoring and review, and developer-tooling workloads with large context.
How fast is CodeLlama-7b-Instruct-Solidity-GGUF?+
CodeLlama-7b-Instruct-Solidity-GGUF delivers about 172 tokens/sec with 99.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is CodeLlama-7b-Instruct-Solidity-GGUF cheaper than other AI models?+
Within the HotON.ai tracked set, CodeLlama-7b-Instruct-Solidity-GGUF is cheaper than 43% of models on input price and ranks #857 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.