Instructions to use GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="GeneroGral/Mistral-Nemo-12B_BBQ_Stereo_MERGED6_dropout_batch", max_seq_length=2048, )
File size: 721 Bytes
8fb2d49 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 5120,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 131072,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 40,
"num_key_value_heads": 8,
"pad_token_id": 10,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.51.3",
"unsloth_fixed": true,
"unsloth_version": "2025.5.8",
"use_cache": true,
"vocab_size": 131072
}
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