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T14Model4bit by Kaballas

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  4-bit   4bit   Autotrain compatible   Bitsandbytes   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Kaballas/T14Model4bit 

T14Model4bit Benchmarks

LLME Score: 0.23268
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
T14Model4bit (Kaballas/T14Model4bit)

T14Model4bit Parameters and Internals

LLM NameT14Model4bit
Repository 🤗https://huggingface.co/Kaballas/T14Model4bit 
Base Model(s)  unsloth/qwen2.5-7b-bnb-4bit   unsloth/qwen2.5-7b-bnb-4bit
Model Size7b
Required VRAM5.6 GB
Updated2025-02-05
MaintainerKaballas
Model Typeqwen2
Model Files  4.5 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to T14Model4bit

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB4216
...still Qwen 7B Unsloth Bnb 4bit128K / 8.5 GB86183
...ek R1 Distill Qwen 7B Bnb 4bit128K / 5.5 GB14042
A1 V002128K / 15.2 GB460
Mini Pathfinder128K / 15.2 GB210
Qwen2.5 7B Bnb 4bit128K / 5.5 GB274633
A1 V0.0.1128K / 15.2 GB50
CogitoDistil128K / 15.2 GB180
Atlas Flash 7B Preview128K / 15.2 GB223
Sim Model128K / 15.2 GB470
Note: green Score (e.g. "73.2") means that the model is better than Kaballas/T14Model4bit.

Rank the T14Model4bit Capabilities

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Release v20241227
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