Mos Mamba 6x130m Trainer by jonathanjordan21

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  Autotrain compatible Base model:finetune:jonathanjo... Base model:jonathanjordan21/mo...   Conversational   Custom code   Generated from trainer   Lora   Moe   Mosmamba   Region:us   Safetensors   Tensorboard

Mos Mamba 6x130m Trainer Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mos Mamba 6x130m Trainer (jonathanjordan21/mos-mamba-6x130m-trainer)

Mos Mamba 6x130m Trainer Parameters and Internals

Training Details 
Methodology:
Fine-tuning
LLM NameMos Mamba 6x130m Trainer
Repository ๐Ÿค—https://huggingface.co/jonathanjordan21/mos-mamba-6x130m-trainer 
Base Model(s)  Mos Mamba 6x130m Hf   jonathanjordan21/mos-mamba-6x130m-hf
Model Size144m
Required VRAM0.1 GB
Updated2025-02-22
Maintainerjonathanjordan21
Model Files  0.1 GB   0.6 GB   0.0 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesw3|w5|w2|gate|w1|in_proj|dt_proj|w4|out_proj|w0
LoRA Alpha64
LoRA Dropout0
R Param64

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Mos Mamba 6x130m Train0K / 0.2 GB1390
Note: green Score (e.g. "73.2") means that the model is better than jonathanjordan21/mos-mamba-6x130m-trainer.

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227