Chronos Mistral Models by Elinas
About
The Chronos Mistral large language model family consists of models fine-tuned on the Mistral v0.1 base model. These models excel in chat, roleplay, and story writing, demonstrating strong reasoning and logic capabilities 4. A standout feature is their ability to produce lengthy, coherent text with context lengths reaching up to 4096 tokens, and even extending to 16384 tokens with RoPE, while maintaining robust coherence 4. The models perform optimally when using Alpaca formatting for prompts 4. Although the Hugging Face page highlights the 7B parameter model, the family likely includes other versions with varying parameter counts and quantizations 4.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
Use when the workload needs 4k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Chronos Mistral 7B | Use when the workload needs 4k context and 7B parameters. | 2023-12 | 4k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Chronos Mistral 7B | 2023-12 | 4k | 7B |
Frequently Asked Questions
- What is Chronos Mistral used for?
- Chronos Mistral is used for coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does Chronos Mistral compare to Chronos Llama 2?
- Chronos Mistral by Elinas is strongest where you need coding, while Chronos Llama 2 by Elinas is the closest related family to check for coding. Chronos Mistral has 1 listed variant and reaches up to 4k context, so compare the specs and pricing tables before choosing a production model.
- Which Chronos Mistral model should I use?
- If price is the main constraint, use the pricing table first because Chronos Mistral does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Chronos Mistral 7B with 4k context.
