Nitral-AI: Captain BMO 12B
nitral-ai/captain_bmo-12b
# Captain\_BMO-12B | Property | Value | | --- | --- | | Parameter Count | 12.2B | | Model Type | Mistral-based Language Model | | Tensor Type | BF16 | | License | Other | | Language | English | ## What is Captain\_BMO-12B? Captain\_BMO-12B is a sophisticated language model built on the Nemo 12B instruct base, specifically engineered for enhanced text completion capabilities. This model represents a specialized fine-tuning experiment that combines robust instruction-following abilities with optimized performance. ## Implementation Details The model underwent a carefully crafted training process utilizing a 200,000 sample randomized subset of GU\_instruct-Remastered-1.1, enhanced with 25,000 samples from the hathor/poppy dataset. The training was conducted over three epochs, resulting in a balanced and refined model output. - Built on Nemo 12B instruct foundation - Utilizes Mistral formatting for text completion - Available in multiple quantization formats including GGUF and Exl2 - Supports both 4bpw and 6bpw Exl2 variants ## Core Capabilities - Advanced text completion with Mistral formatting - Instruction-following capabilities - Optimized for English language tasks - Flexible deployment options through various quantization formats ## Frequently Asked Questions ### Q: What makes this model unique? The model's unique blend of GU\_instruct-Remastered-1.1 and hathor/poppy datasets, combined with its three-epoch training approach, creates a distinctive balance between instruction-following and general text completion capabilities. ### Q: What are the recommended use cases? This model is primarily designed for text completion tasks and internal testing purposes. While it demonstrates good performance, it's important to note that extended support is limited, and results may vary depending on specific use cases and context size requirements.
Model specifications
- Input
- text
- Output
- text
- Context
- 10,000 tokens
- Max output
- 10,000 tokens
- Input price
- $0 / 1M tokens
- Output price
- $0 / 1M tokens
- Released
- 2026-02-18
Capabilities
- Streaming
- Playground
Frequently asked questions
- What is Nitral-AI: Captain BMO 12B?
- # Captain\_BMO-12B | Property | Value | | --- | --- | | Parameter Count | 12.2B | | Model Type | Mistral-based Language Model | | Tensor Type | BF16 | | License | Other | | Language | English | ## What is Captain\_BMO-12B? Captain\_BMO-12B is a sophisticated language model built on the Nemo 12B instruct base, specifically engineered for enhanced text completion capabilities. This model represents a specialized fine-tuning experiment that combines robust instruction-following abilities with optimized performance. ## Implementation Details The model underwent a carefully crafted training process utilizing a 200,000 sample randomized subset of GU\_instruct-Remastered-1.1, enhanced with 25,000 samples from the hathor/poppy dataset. The training was conducted over three epochs, resulting in a balanced and refined model output. - Built on Nemo 12B instruct foundation - Utilizes Mistral formatting for text completion - Available in multiple quantization formats including GGUF and Exl2 - Supports both 4bpw and 6bpw Exl2 variants ## Core Capabilities - Advanced text completion with Mistral formatting - Instruction-following capabilities - Optimized for English language tasks - Flexible deployment options through various quantization formats ## Frequently Asked Questions ### Q: What makes this model unique? The model's unique blend of GU\_instruct-Remastered-1.1 and hathor/poppy datasets, combined with its three-epoch training approach, creates a distinctive balance between instruction-following and general text completion capabilities. ### Q: What are the recommended use cases? This model is primarily designed for text completion tasks and internal testing purposes. While it demonstrates good performance, it's important to note that extended support is limited, and results may vary depending on specific use cases and context size requirements.
- How much does Nitral-AI: Captain BMO 12B cost?
- Input costs start at $0 / 1M tokens and output costs start at $0 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Nitral-AI: Captain BMO 12B?
- Nitral-AI: Captain BMO 12B supports a 10,000 token context window and up to 10,000 output tokens.
- What capabilities does Nitral-AI: Captain BMO 12B support?
- Nitral-AI: Captain BMO 12B supports Streaming, Playground.