The request names a specific tiny test model, tiny-MistralForCausalLM-0.2, which is a Hugging Face model identifier rather than a product. None of the candidate sources document that model directly, so the closest matches are the platforms that serve or run open Mistral-architecture models: Mistral's own open-weight models 1, Ollama for running open models locally 5, and PyTorch as the framework that loads such models 8.
A question back: Do you want to run this tiny test model locally for development, or load it for training or fine-tuning, and on which platform?
- 1
Mistralmistral.aiverified and signed
Mistral offers frontier open-weight models that can be run on-prem, in a VPC, or on its cloud 1, which is the family the MistralForCausalLM architecture belongs to.
+297 community tools built for it
for agents: llm · mistral · ai
- 2
Ollamaollama.comwebsite read, tools not yet checked
Ollama runs and builds with open AI models locally or in the cloud on macOS, Windows, and Linux 5, so it is a practical way to run a small open causal language model.
+136 community tools built for it
- 3
PyTorchpytorch.orgverified and signed
PyTorch is the open source deep learning framework that loads and runs transformer models such as MistralForCausalLM 8.
+13 community tools built for it
for agents: export · at-dispatch-v2 · add-uint-support
- 4
ONNXonnx.aiwebsite read, tools not yet checked
ONNX is a community open format that lets models trained in one framework run on a chosen inference engine 10.
+55 community tools built for it
Sources
- 1Mistral | #1 in Sovereign AI: Frontier Open Models You Ownmistral.ai · read 2026-10-30
- 5Ollama · Run AI models locally and in the cloudollama.com · read 2026-10-29
- 8PyTorch Foundation - PyTorchpytorch.org · read 2026-10-29
- 10ONNX | Homeonnx.ai · read 2026-10-29
For agents: the 10 actions behind this answer
llm · mistral-vibe verified and signed
model-recommendation · model-recommendation verified and signed
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
retrieveModel · OpenAI API verified and signed
Retrieves a model instance, providing basic information about the model such as the owner and permissioning.
tao-finetune-huggingface-model · tao-finetune-huggingface-model verified and signed
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pip
· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
register_model · atomisticskills found in code, not yet checked
Register a fine-tuned MLIP checkpoint in the local model registry.
· Research website read, tools not yet checked
Discover Google Research. We publish research papers across a wide range of domains and share our latest developments in AI and science research.
export · export verified and signed
Export a PyTorch model to .pte format for ExecuTorch. Use when converting models, lowering to edge, or generating .pte files.
curl · shin-watcher-oss found in code, not yet checked
Make an HTTP request to the local litellm proxy (localhost only).
· ONNX website read, tools not yet checked
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.