Model Card on HF 🤗: https://huggingface.co/ChenyangLyu/mistral-flan-collection-3k
Mistral Flan Collection 3K Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Mistral Flan Collection 3K Parameters and Internals
| LLM Name | Mistral Flan Collection 3K |
| Repository 🤗 | https://huggingface.co/ChenyangLyu/mistral-flan-collection-3k |
| Required VRAM | 29 GB |
| Updated | 2025-03-15 |
| Maintainer | ChenyangLyu |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.0.dev0 |
| Vocabulary Size | 32001 |
| Torch Data Type | float32 |
Best Alternatives to Mistral Flan Collection 3K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Krutrim 2 Instruct | 1000K / 49.3 GB | 360 | 33 |
| Ft V1 Violet | 1000K / 24.5 GB | 5 | 0 |
| Devstral Small 2505 Bf16 | 128K / 46.9 GB | 16 | 1 |
| Tiny Random MistralForCausalLM | 128K / 0 GB | 3252 | 1 |
| Winterreise M7 | 32K / 14.4 GB | 0 | 0 |
| Frostwind V2.1 M7 | 32K / 14.4 GB | 0 | 0 |
| MistralLite | 32K / 14.4 GB | 16267 | 434 |
| ...ydaz Web AI Reasoner BaseModel | 32K / 14.4 GB | 0 | 1 |
| MistralLite | 32K / 14.4 GB | 61777 | 430 |
| Snorkel Mistral PairRM DPO | 32K / 14.4 GB | 704 | 108 |
Note: green Score (e.g. "73.2") means that the model is better than ChenyangLyu/mistral-flan-collection-3k .
Rank the Mistral Flan Collection 3K Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51534 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124