Base model:grimulkan/goliath-l... Base model:quantized:grimulkan... Fp16 Gguf Llama Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-GGUF
Goliath LongLORA 120B Rope8 32K Fp16 GGUF 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)
Goliath LongLORA 120B Rope8 32K Fp16 GGUF Parameters and Internals
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| LLM Name | Goliath LongLORA 120B Rope8 32K Fp16 GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-GGUF |
| Model Name | Goliath LongLORA 120B Rope8 32K |
| Model Creator | Grimulkan |
| Base Model(s) | |
| Model Size | 120b |
| Required VRAM | 43.2 GB |
| Updated | 2025-10-03 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | fp16|gguf |
| Model Architecture | AutoModel |
| License | llama2 |
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Context / RAM |
Downloads |
Likes |
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| Goliath 120B GGUF | 0K / 49.6 GB | 568 | 137 |
| MegaDolphin 120B GGUF | 0K / GB | 18 | 23 |
| DiscoLM 120B GGUF | 0K / 49.6 GB | 42 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-GGUF .
Rank the Goliath LongLORA 120B Rope8 32K Fp16 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124