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Stheno V2 Delta AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:sao10k/st... Base model:sao10k/stheno-v2-de...   En   Fp16   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Stheno-v2-Delta-AWQ 

Stheno V2 Delta AWQ Benchmarks

LLME Score: 0.1485
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stheno V2 Delta AWQ (TheBloke/Stheno-v2-Delta-AWQ)

Stheno V2 Delta AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
- A v2 attempt but using the new DARE merging method. - Alright, I guess? Total Models used: < 5 Purely Experimental - Works well enough I think?
Supported Languages 
en (Native/Fluent)
LLM NameStheno V2 Delta AWQ
Repository 🤗https://huggingface.co/TheBloke/Stheno-v2-Delta-AWQ 
Model NameStheno V2 Delta
Model CreatorSaofiq
Base Model(s)  Stheno V2 Delta Fp16   Sao10K/Stheno-v2-Delta-fp16
Model Size2b
Required VRAM7.2 GB
Updated2025-02-23
MaintainerTheBloke
Model Typellama
Model Files  7.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typefp16|awq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.2
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/Stheno-v2-Delta-AWQ.

Rank the Stheno V2 Delta AWQ Capabilities

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Release v20241227
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