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DiarizationLM 13B Fisher V1 by google

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  Arxiv:2401.03506   4bit   Autotrain compatible   Endpoints compatible   Gguf   Llama   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/DiarizationLM-13b-Fisher-v1 

DiarizationLM 13B Fisher V1 Benchmarks

LLME Score: 0.16201
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DiarizationLM 13B Fisher V1 (google/DiarizationLM-13b-Fisher-v1)
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DiarizationLM 13B Fisher V1 Parameters and Internals

Model Type 
Speaker Diarization, Causal Language Model
Use Cases 
Areas:
Research applications
Additional Notes 
This model is outdated. Please use google/DiarizationLM-8b-Fisher-v2 instead.
Training Details 
Data Sources:
Fisher corpus
Data Volume:
48,142 prompt-completion pairs
Methodology:
Finetuning a foundation model using LoRA adapter
Context Length:
4096
Training Time:
More than 3 days
Hardware Used:
Google Cloud VM instance with one NVIDIA A100 GPU (80GB)
LLM NameDiarizationLM 13B Fisher V1
Repository 🤗https://huggingface.co/google/DiarizationLM-13b-Fisher-v1 
Model Size13b
Required VRAM26 GB
Updated2025-10-12
Maintainergoogle
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6   7.9 GB   13.8 GB
GGUF QuantizationYes
Quantization Typegguf|q4|4bit|q4_k
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than google/DiarizationLM-13b-Fisher-v1.

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Release v20241124
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