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Goliath 120B by alpindale

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  Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Merge   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/alpindale/goliath-120b 

Goliath 120B Benchmarks

LLME Score: 0.14555
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Goliath 120B (alpindale/goliath-120b)
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Goliath 120B Parameters and Internals

Model Type 
auto-regressive causal LM
Additional Notes 
Models used in merging: Xwin and Euryale with specified layer ranges.
Supported Languages 
en (proficient)
Training Details 
Methodology:
Combining 2x finetuned Llama-2 70B into one.
Model Architecture:
Uses layers from Xwin and Euryale models in a specified range.
Input Output 
Input Format:
Both Vicuna and Alpaca can be used for prompting.
LLM NameGoliath 120B
Repository 🤗https://huggingface.co/alpindale/goliath-120b 
Model Size120b
Required VRAM235.4 GB
Updated2025-10-19
Maintaineralpindale
Model Typellama
Model Files  9.9 GB: 1-of-24   9.8 GB: 2-of-24   10.0 GB: 3-of-24   9.9 GB: 4-of-24   9.8 GB: 5-of-24   9.8 GB: 6-of-24   9.9 GB: 7-of-24   10.0 GB: 8-of-24   9.9 GB: 9-of-24   9.7 GB: 10-of-24   9.8 GB: 11-of-24   9.9 GB: 12-of-24   9.9 GB: 13-of-24   10.0 GB: 14-of-24   9.9 GB: 15-of-24   9.9 GB: 16-of-24   10.0 GB: 17-of-24   9.8 GB: 18-of-24   10.0 GB: 19-of-24   9.8 GB: 20-of-24   9.8 GB: 21-of-24   9.8 GB: 22-of-24   9.8 GB: 23-of-24   8.3 GB: 24-of-24
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Goliath 120B

Model
Likes
Downloads
VRAM
Goliath 120B GGUF13756849 GB
Goliath 120B AWQ1191961 GB
Goliath 120B GPTQ162259 GB

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Megamarcoroni 120B4K / 212 GB50
Note: green Score (e.g. "73.2") means that the model is better than alpindale/goliath-120b.

Rank the Goliath 120B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241124
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