Model Card on HF 🤗: https://huggingface.co/alexxi19/ft-v1-violet
Ft V1 Violet 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)
Ft V1 Violet Parameters and Internals
| LLM Name | Ft V1 Violet |
| Repository 🤗 | https://huggingface.co/alexxi19/ft-v1-violet |
| Required VRAM | 24.5 GB |
| Updated | 2025-05-19 |
| Maintainer | alexxi19 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Best Alternatives to Ft V1 Violet
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Krutrim 2 Instruct | 1000K / 49.3 GB | 773 | 28 |
| Tiny Random MistralForCausalLM | 128K / 0 GB | 3742 | 1 |
| Winterreise M7 | 32K / 14.4 GB | 0 | 0 |
| Frostwind V2.1 M7 | 32K / 14.4 GB | 0 | 0 |
| ...ydaz Web AI Reasoner BaseModel | 32K / 14.4 GB | 0 | 1 |
| MistralLite | 32K / 14.4 GB | 11587 | 431 |
| MistralLite | 32K / 14.4 GB | 61777 | 430 |
| Mixtral AI Cyber Child | 32K / 14.5 GB | 14 | 1 |
| Kheops Textbook Immo2 | 32K / 14.5 GB | 11 | 0 |
| Tiny Mistral | 32K / 0.4 GB | 18933 | 14 |
Note: green Score (e.g. "73.2") means that the model is better than alexxi19/ft-v1-violet .
Rank the Ft V1 Violet 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? 47473 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227