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Goliath 120B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:alpindale/goliath-1... Base model:quantized:alpindale...   Conversational   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/goliath-120b-AWQ 

Goliath 120B AWQ Benchmarks

LLME Score: 0.12856
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Goliath 120B AWQ (TheBloke/goliath-120b-AWQ)
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Goliath 120B AWQ Parameters and Internals

Model Type 
llama
Supported Languages 
en (high)
Training Details 
Methodology:
An auto-regressive causal LM created by combining 2x finetuned Llama-2 70B into one.
Model Architecture:
Combination of the Xwin-LM-70B-V0.1 and Euryale-1.3-L2-70B models using merged layer ranges.
Input Output 
Input Format:
You are a helpful AI assistant. USER: {prompt} ASSISTANT:
LLM NameGoliath 120B AWQ
Repository 🤗https://huggingface.co/TheBloke/goliath-120b-AWQ 
Model NameGoliath 120B
Model CreatorAlpin
Base Model(s)  Goliath 120B   alpindale/goliath-120b
Model Size120b
Required VRAM61.9 GB
Updated2025-10-06
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-7   9.9 GB: 2-of-7   9.9 GB: 3-of-7   10.0 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   2.4 GB: 7-of-7
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/goliath-120b-AWQ.

Rank the Goliath 120B AWQ Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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