Arxiv:1910.09700 Endpoints compatible Gguf Llama Lora Pytorch Quantized Region:us Safetensors Sharded Unsloth
Model Card on HF 🤗: https://huggingface.co/DesignITlab/Llama_Brutalism_eng_ver.3
Llama Brutalism Eng Ver.3 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)
Llama Brutalism Eng Ver.3 Parameters and Internals
| LLM Name | Llama Brutalism Eng Ver.3 |
| Repository 🤗 | https://huggingface.co/DesignITlab/Llama_Brutalism_eng_ver.3 |
| Required VRAM | 16.1 GB |
| Updated | 2025-02-22 |
| Maintainer | DesignITlab |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| Model Max Length | 8192 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|reserved_special_token_250|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|up_proj|o_proj|down_proj|k_proj|v_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Llama Brutalism Eng Ver.3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ComicBot V.2 Gguf | 32K / 5 GB | 152 | 0 |
| Phi 2 GGUF | 0K / 1.2 GB | 3703103 | 197 |
| Marco O1 GGUF | 0K / 3 GB | 753 | 12 |
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 31035 | 611 |
| Mixtral 8x7B V0.1 GGUF | 0K / 15.6 GB | 6904 | 424 |
| Futfut By Zephyr7b Gguf | 0K / 5.1 GB | 831 | 2 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 8203 | 301 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 10762 | 138 |
| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 16 | 3 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 961 | 16 |
Note: green Score (e.g. "73.2") means that the model is better than DesignITlab/Llama_Brutalism_eng_ver.3 .
Rank the Llama Brutalism Eng Ver.3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227