Arxiv:1910.09700 8-bit Autotrain compatible Bitsandbytes Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/fatyanosa/Merak-7B-squadpairs-indo
Merak 7B Squadpairs Indo 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)
Merak 7B Squadpairs Indo Parameters and Internals
| LLM Name | Merak 7B Squadpairs Indo |
| Repository 🤗 | https://huggingface.co/fatyanosa/Merak-7B-squadpairs-indo |
| Model Size | 7b |
| Required VRAM | 7 GB |
| Updated | 2025-09-23 |
| Maintainer | fatyanosa |
| Model Type | llama |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| LoRA Model | Yes |
| LoRA Alpha | 0 |
| LoRA Dropout | 0 |
| R Param | 0 |
| Torch Data Type | float16 |
Best Alternatives to Merak 7B Squadpairs Indo
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B V0.3 | 32K / 14.5 GB | 1030 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 39 | 5 |
| ...unoichi Lemon Royale V3 32K 7B | 32K / 14.5 GB | 9 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 295 | 3 |
| Mistralai Mistral 7B V0.3 | 32K / 14.5 GB | 70 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 43 | 2 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 8 | 0 |
| Mistral 7B V0.2 | 32K / 14.5 GB | 13 | 1 |
| Full V4 Astromistral Final | 32K / 4.5 GB | 6 | 1 |
| LlamaGuard 7B | 4K / 13.5 GB | 9019 | 240 |
Note: green Score (e.g. "73.2") means that the model is better than fatyanosa/Merak-7B-squadpairs-indo .
Rank the Merak 7B Squadpairs Indo Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124