Arxiv:1910.09700 4-bit Bitsandbytes Conversational Endpoints compatible Finetuned Mistral Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/HeinzFelipe2/mistralai-Niceday-Finetune_Articles_V4_V3
Mistralai Niceday Finetune Articles V4 V3 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)
Mistralai Niceday Finetune Articles V4 V3 Parameters and Internals
| LLM Name | Mistralai Niceday Finetune Articles V4 V3 |
| Repository 🤗 | https://huggingface.co/HeinzFelipe2/mistralai-Niceday-Finetune_Articles_V4_V3 |
| Model Size | 7.5b |
| Required VRAM | 4.7 GB |
| Updated | 2025-12-12 |
| Maintainer | HeinzFelipe2 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.42.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32208 |
| Torch Data Type | float32 |
Best Alternatives to Mistralai Niceday Finetune Articles V4 V3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ClimateChat | 32K / 15 GB | 18 | 1 |
| 0dAI 7.5B V2 4bpw | 32K / 3.8 GB | 5 | 3 |
| 0dAI 7.5B V2 8bpw | 32K / 7.3 GB | 9 | 0 |
| Mymodel V2 | 32K / 30.1 GB | 5 | 0 |
| Mymodel V1 | 32K / 59 GB | 5 | 0 |
| Mixtral AI SwahiliTron 4BIT | 32K / 4.1 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than HeinzFelipe2/mistralai-Niceday-Finetune_Articles_V4_V3 .
Rank the Mistralai Niceday Finetune Articles V4 V3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124