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MoE Finetuned 4B by Klevin

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MoE Finetuned 4B is an open-source language model by Klevin. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, MoE, Quantized, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.15.

  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Finetuned   Instruct   Mistral   Moe   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Klevin/MOE-Finetuned-4B 

MoE Finetuned 4B Benchmarks

LLME Score: 0.15023
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MoE Finetuned 4B (Klevin/MOE-Finetuned-4B)
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MoE Finetuned 4B Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (Proficient)
Training Details 
Methodology:
Finetuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit using Unsloth and Huggingface's TRL library
LLM NameMoE Finetuned 4B
Repository 🤗https://huggingface.co/Klevin/MOE-Finetuned-4B 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2025-09-23
MaintainerKlevin
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to MoE Finetuned 4B

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Context / RAM
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...al Nemo Instruct 2407 Bnb 4bit128K / 8.3 GB450229
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1331
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB131
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1256736
Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB130
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Note: green Score (e.g. "73.2") means that the model is better than Klevin/MOE-Finetuned-4B.

Rank the MoE Finetuned 4B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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