TinyMistral V2.5 MiniPile Guidelines E1 is an open-source language model by Dans-DiscountModels. Features: 248m LLM, VRAM: 0.6GB, Context: 32K, License: apache-2.0, HF Score: 29.2, LLM Explorer Score: 0.16, Arc: 26.5, HellaSwag: 25.7, MMLU: 23.5, TruthfulQA: 49.9, WinoGrande: 49.4.
Base model:finetune:locutusque... Base model:locutusque/tinymist... Dataset:epfl-llm/guidelines Dataset:jeankaddour/minipile En Endpoints compatible Generated from trainer Mistral Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/Dans-DiscountModels/TinyMistral-v2.5-MiniPile-Guidelines-E1
TinyMistral V2.5 MiniPile Guidelines E1 Benchmarks
ARC: 26.45 vs 96.7 (so35)-72.6%
HellaSwag: 25.68 vs 95.3 (gpt4)-73.1%
MMLU: 23.53 vs 88.3 (so35)-73.4%
TruthfulQA: 49.85 vs 59 (gpt4)-15.5%
WinoGrande: 49.41 vs 87.5 (gpt4)-43.5%
LLME Score: 0.16493
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)
TinyMistral V2.5 MiniPile Guidelines E1 Parameters and Internals
| Model Type |
| ||||||
| Supported Languages |
| ||||||
| Training Details |
|
| LLM Name | TinyMistral V2.5 MiniPile Guidelines E1 |
| Repository 🤗 | https://huggingface.co/Dans-DiscountModels/TinyMistral-v2.5-MiniPile-Guidelines-E1 |
| Base Model(s) | |
| Model Size | 248m |
| Required VRAM | 0.6 GB |
| Updated | 2026-03-30 |
| Maintainer | Dans-DiscountModels |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32005 |
| Torch Data Type | bfloat16 |
Best Alternatives to TinyMistral V2.5 MiniPile Guidelines E1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...adrin TinyMistral248M Instruct | 32K / 0.5 GB | 2352 | 7 |
| TinyMistral 248M V2.5 | 32K / 1 GB | 20 | 27 |
| TinyMistral 248M V2 | 32K / 1 GB | 831 | 17 |
| TinyMistral 248M V2.5 Instruct | 32K / 1 GB | 2 | 11 |
| TinyMistral V2 Test1 | 32K / 1 GB | 18 | 1 |
| TinyMistral 248M Instruct | 32K / 1 GB | 13 | 12 |
| Tinymistv1 | 32K / 0.5 GB | 17 | 0 |
| TinyMistral 248M 8bits | 32K / 0.3 GB | 11 | 1 |
| TinyMistral Haiku | 32K / 1 GB | 9 | 0 |
| ...istral 248M V2.5 Instruct Orpo | 32K / 0.5 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Dans-DiscountModels/TinyMistral-v2.5-MiniPile-Guidelines-E1 .
Rank the TinyMistral V2.5 MiniPile Guidelines E1 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? 52721 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a