4-bit Autotrain compatible Awq Base model:moreh/momo-72b-lora... Base model:quantized:moreh/mom... Endpoints compatible Llama Lora Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Smaug-72B-v0.1-AWQ
Smaug 72B V0.1 AWQ 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)
Smaug 72B V0.1 AWQ Parameters and Internals
| Training Details |
|
| LLM Name | Smaug 72B V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/LoneStriker/Smaug-72B-v0.1-AWQ |
| Base Model(s) | |
| Model Size | 72b |
| Required VRAM | 41.3 GB |
| Updated | 2025-07-30 |
| Maintainer | LoneStriker |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 152064 |
| LoRA Model | Yes |
| Torch Data Type | float16 |
Best Alternatives to Smaug 72B V0.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Smaug 72B V0.1 AWQ | 32K / 41.3 GB | 6 | 3 |
| Smaug 72B V0.1 2.4bpw H6 EXL2 | 32K / 24.5 GB | 17 | 1 |
| 2 Pro Math | 128K / 141.9 GB | 7 | 0 |
| Smaug 72B V0.1 | 32K / 144.5 GB | 9027 | 469 |
| TW3 JRGL V2 | 32K / 79.7 GB | 17960 | 0 |
| Le Triomphant ECE TW3 | 32K / 79.7 GB | 17938 | 4 |
| ECE TW3 JRGL V5 | 32K / 159.6 GB | 9840 | 1 |
| MoMo 72B Lora 1.8.7 DPO | 32K / 208.5 GB | 2257 | 68 |
| Rhea 72B V0.5 | 32K / 144.5 GB | 9845 | 136 |
| JuliusCesar 72B BeyonderV.0 | 32K / 74.2 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Smaug-72B-v0.1-AWQ .
Rank the Smaug 72B V0.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124