FernandoGPT V1 is an open-source language model by samir-fama. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, HF Score: 72.9, LLM Explorer Score: 0.13, Arc: 69.5, HellaSwag: 86.9, MMLU: 65.2, TruthfulQA: 61.2, WinoGrande: 81.1, GSM8K: 73.3.
Model Card on HF 🤗: https://huggingface.co/samir-fama/FernandoGPT-v1
FernandoGPT V1 Benchmarks
ARC: 69.45 vs 96.7 (so35)-28.2%
HellaSwag: 86.94 vs 95.3 (gpt4)-8.8%
MMLU: 65.19 vs 88.3 (so35)-26.2%
TruthfulQA: 61.18 vs 59 (gpt4)3.7%
WinoGrande: 81.14 vs 87.5 (gpt4)-7.3%
GSM8K: 73.31 vs 96.4 (so35)-24%
LLME Score: 0.12691
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)
FernandoGPT V1 Parameters and Internals
| Model Type |
| |
| Supported Languages |
|
| LLM Name | FernandoGPT V1 |
| Repository 🤗 | https://huggingface.co/samir-fama/FernandoGPT-v1 |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2026-04-11 |
| Maintainer | samir-fama |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to FernandoGPT V1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 254 | 20 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 8103 | 54 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 14 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 3779 | 16 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 7850 | 16 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 1251 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 6 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than samir-fama/FernandoGPT-v1 .
Rank the FernandoGPT V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a