Kyllene 34B V1.1 2.8bpw H6 EXL2 by LoneStriker

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Llama   Merge   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Kyllene 34B V1.1 2.8bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kyllene 34B V1.1 2.8bpw H6 EXL2 (LoneStriker/Kyllene-34B-v1.1-2.8bpw-h6-exl2)

Kyllene 34B V1.1 2.8bpw H6 EXL2 Parameters and Internals

Use Cases 
Limitations:
Model can produce NSFW content.
Additional Notes 
MergeMonster method works but consumes large amounts of RAM or VRAM and takes a really long time to process model data.
Training Details 
Data Volume:
200K context length
Methodology:
A result of a new merge method provided by MergeMonster tool with extended RPG preset. Method aims to maximize probability of certain phrases and minimize probability of other phrases.
Context Length:
200000
Training Time:
24H
Hardware Used:
1x ADA6000
LLM NameKyllene 34B V1.1 2.8bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Kyllene-34B-v1.1-2.8bpw-h6-exl2 
Model Size34b
Required VRAM13 GB
Updated2025-06-02
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-2   4.4 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Kyllene-34B-v1.1-2.8bpw-h6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227