You Can Cry Snowman 13B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:dopeornope/you can ... Base model:quantized:dopeornop...   Conversational   Ko   Llama   Quantized   Region:us   Safetensors

You Can Cry Snowman 13B AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
You Can Cry Snowman 13B AWQ (TheBloke/You_can_cry_Snowman-13B-AWQ)

You Can Cry Snowman 13B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Quantized using AWQ method, supported for better efficient inference. Tested on platforms like Transformers, text-generation-webui, vLLM, TGI.
Training Details 
Methodology:
Merged two models by increasing the parameter size to create a larger model and observed performance changes in the SOLAR base model.
Context Length:
4096
Model Architecture:
auto-regressive language model based on the SOLAR architecture.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameYou Can Cry Snowman 13B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/You_can_cry_Snowman-13B-AWQ 
Model NameYou Can Cry Snowman 13B
Model CreatorSeungyoo Lee
Base Model(s)  You Can Cry Snowman 13B   DopeorNope/You_can_cry_Snowman-13B
Model Size13b
Required VRAM7.3 GB
Updated2024-12-26
MaintainerTheBloke
Model Typesolar
Model Files  7.3 GB
Supported Languagesko
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/You_can_cry_Snowman-13B-AWQ.

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