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Krx Q25 7B Base V2.1 by lsw0570168

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  Autotrain compatible Base model:finetune:lsw0570168... Base model:lsw0570168/krx-q25-...   En   Endpoints compatible   Krx   Q25   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/lsw0570168/krx-q25-7b-base-v2.1 

Krx Q25 7B Base V2.1 Benchmarks

LLME Score: 0.2121
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Krx Q25 7B Base V2.1 (lsw0570168/krx-q25-7b-base-v2.1)

Krx Q25 7B Base V2.1 Parameters and Internals

LLM NameKrx Q25 7B Base V2.1
Repository 🤗https://huggingface.co/lsw0570168/krx-q25-7b-base-v2.1 
Base Model(s)  Krx Q25 7B Base V2   lsw0570168/krx-q25-7b-base-v2
Model Size7b
Required VRAM15.2 GB
Updated2024-11-08
Maintainerlsw0570168
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Quantization Typeq25
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Krx Q25 7B Base V2.1

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Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB6718
...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB3902
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Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB162
...still Qwen 7B Unsloth Bnb 4bit128K / 8.5 GB1571219
Gte Qwen2 7B Instruct 4bit DWQ128K / 4.3 GB2873
Mini Pathfinder128K / 15.2 GB160
A1 V002128K / 15.2 GB150
A1 V0.0.1128K / 15.2 GB140
CogitoDistil128K / 15.2 GB140
Note: green Score (e.g. "73.2") means that the model is better than lsw0570168/krx-q25-7b-base-v2.1.

Rank the Krx Q25 7B Base V2.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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