Adapter Axolotl Base model:adapter:hardlyworki... Base model:hardlyworking/broth... Dataset:aquav/resistance-share... Dataset:aquav/us-army-survival... Dataset:epiculous/synthstruct-... Dataset:gryphe/sonnet3.5-slimo... Dataset:neweden/kalo-opus-inst... Dataset:nitral-ai/gu instruct-... Dataset:nitral-ai/medical inst... Dataset:nitral-ai/reasoning-1s... Dataset:pocketdoc/dans-memoryc... Finetuned Generated from trainer Instruct Lora Mistral Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/hardlyworking/Noodles-12B
Noodles 12B 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)
Noodles 12B Parameters and Internals
| LLM Name | Noodles 12B |
| Repository 🤗 | https://huggingface.co/hardlyworking/Noodles-12B |
| Base Model(s) | |
| Model Size | 12b |
| Required VRAM | 3.6 GB |
| Updated | 2025-04-19 |
| Maintainer | hardlyworking |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|up_proj|v_proj|gate_proj|down_proj|q_proj|o_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Noodles 12B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Control 12B R3 Lora | 0K / 2.9 GB | 6 | 0 |
| Aurora 12B | 0K / 24.5 GB | 18 | 0 |
| Aura NeMo 12B | 0K / 1.8 GB | 4 | 2 |
Rank the Noodles 12B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227