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Chronos Beluga V2 13B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:the-face-... Base model:the-face-of-goonery...   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Chronos-Beluga-v2-13B-AWQ 

Chronos Beluga V2 13B AWQ Benchmarks

LLME Score: 0.10903
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chronos Beluga V2 13B AWQ (TheBloke/Chronos-Beluga-v2-13B-AWQ)
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Chronos Beluga V2 13B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
This repo contains AWQ model files for Caleb Morgan's Chronos Beluga v2 13B. AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference.
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameChronos Beluga V2 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/Chronos-Beluga-v2-13B-AWQ 
Model NameChronos Beluga v2 13B
Model CreatorCaleb Morgan
Base Model(s)  Chronos Beluga V2 13bfp16   The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16
Model Size13b
Required VRAM7.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
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/Chronos-Beluga-v2-13B-AWQ.

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