Merged Model Adapter Axolotl Base model:adapter:hardlyworki... Base model:hardlyworking/noodl... Dataset:anthracite-core/c2 log... Dataset:epiculous/synthrp-gens... Dataset:hardlyworking/openerot... Dataset:minervaai/aesir-previe... Dataset:nitral-ai/creative wri... Dataset:pjmixers/lodrick-the-l... Dataset:resplendentai/bluemoon Finetuned Generated from trainer Lora Mistral Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/hardlyworking/Beef-12B
Beef 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)
Beef 12B Parameters and Internals
| LLM Name | Beef 12B |
| Repository 🤗 | https://huggingface.co/hardlyworking/Beef-12B |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 12b |
| Required VRAM | 3.6 GB |
| Updated | 2025-05-21 |
| Maintainer | hardlyworking |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Beef 12B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Noodles 12B | 0K / 3.6 GB | 11 | 0 |
| G3 12B Pt Story Qlora | 0K / 0.5 GB | 14 | 0 |
| CEV Other 12B Lora | 0K / 0.1 GB | 5 | 0 |
| Meme 12B Lora E2 | 0K / 0.2 GB | 8 | 0 |
| Meme 12B Lora E2 | 0K / 0.2 GB | 5 | 0 |
| Control 12B R3 Lora | 0K / 2.9 GB | 6 | 0 |
| ...Noctis R64 Test Train Lora 12B | 0K / 0.9 GB | 7 | 0 |
| ...Noctis R64 Test Train Lora 12B | 0K / 0.9 GB | 5 | 0 |
| Aurora 12B | 0K / 24.5 GB | 8 | 0 |
| Aura NeMo 12B | 0K / 1.8 GB | 6 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than hardlyworking/Beef-12B .
Rank the Beef 12B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124