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Krx Q25 7B Base V2 by lsw0570168

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  Autotrain compatible Base model:finetune:unsloth/qw...   Base model:unsloth/qwen2.5-7b   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 

Krx Q25 7B Base V2 Benchmarks

LLME Score: 0.21051
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 (lsw0570168/krx-q25-7b-base-v2)

Krx Q25 7B Base V2 Parameters and Internals

LLM NameKrx Q25 7B Base V2
Repository 🤗https://huggingface.co/lsw0570168/krx-q25-7b-base-v2 
Base Model(s)  unsloth/Qwen2.5-7B   unsloth/Qwen2.5-7B
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

Quantized Models of the Krx Q25 7B Base V2

Model
Likes
Downloads
VRAM
Krx Q25 7B Base V2.1012315 GB

Best Alternatives to Krx Q25 7B Base V2

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB6718
...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB3902
Qwen2.5 7B Instruct 1M 8bit986K / 8.1 GB303
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.

Rank the Krx Q25 7B Base V2 Capabilities

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