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Goliath LongLORA 120B Rope8 32K Fp16 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:grimulkan/goliath-l... Base model:quantized:grimulkan...   Fp16   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Goliath LongLORA 120B Rope8 32K Fp16 AWQ Benchmarks

LLME Score: 0.19139
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Goliath LongLORA 120B Rope8 32K Fp16 AWQ Parameters and Internals

LLM NameGoliath LongLORA 120B Rope8 32K Fp16 AWQ
Repository 🤗https://huggingface.co/TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-AWQ 
Model NameGoliath LongLORA 120B Rope8 32K
Model CreatorGrimulkan
Base Model(s)  ...h LongLORA 120B Rope8 32K Fp16   grimulkan/Goliath-longLORA-120b-rope8-32k-fp16
Model Size120b
Required VRAM61.9 GB
Updated2024-09-16
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
AWQ QuantizationYes
Quantization Typefp16|awq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Goliath LongLORA 120B Rope8 32K Fp16 AWQ (TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-AWQ.

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Release v2024072803
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