MythoMist 7B
MythoMist 7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 32k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Mytho
- Released
- 2023-10-27
- Context
- 32k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
MythoMist 7B is an experimental LLM built on the Mistral architecture, focusing on reducing the prevalence of words linked to negative connotations in ChatGPT roleplaying data. It incorporates elements from various models like Neural-chat-7b-v3-1, Synatra-7B-v0.3-RP, and others, merged through a custom algorithm for benchmarking. With around 7.24 billion parameters, it offers quantized formats like GGUF and GPTQ for optimized hardware usage, and supports tools like llama.cpp and text-generation-webui. The model is designed for use with an Alpaca-style prompt format.
MythoMist 7B is a model in the Mytho family. The structured metadata tracks a 32k-token context window. No headline benchmark score is tracked for MythoMist 7B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.