Llama 68M Fft by lu-vae

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  Autotrain compatible Base model:finetune:jackfram/l...   Base model:jackfram/llama-68m   Endpoints compatible   Generated from trainer   Llama   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/lu-vae/llama-68m-fft 

Llama 68M Fft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 68M Fft (lu-vae/llama-68m-fft)

Llama 68M Fft Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
This model is a fine-tuned version focused on chat-oriented tasks using specified datasets.
Training Details 
Data Sources:
/data/data/final_set_cleaned/train/, /data/data/map_coig_cqia.jsonl, /data/data/ruozhiba.jsonl
LLM NameLlama 68M Fft
Repository ๐Ÿค—https://huggingface.co/lu-vae/llama-68m-fft 
Base Model(s)  Llama 68M   JackFram/llama-68m
Model Size68m
Required VRAM0.1 GB
Updated2025-03-27
Maintainerlu-vae
Model Typellama
Model Files  0.1 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_text|>
Vocabulary Size32003
Torch Data Typebfloat16

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Llama 68M Oasst Top12K / 0.3 GB420
Llama 68M Finetuned Wikitext22K / 0.3 GB460
JackFram Llama 68M2K / 0.3 GB593
Note: green Score (e.g. "73.2") means that the model is better than lu-vae/llama-68m-fft.

Rank the Llama 68M Fft Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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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