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Llama 68M Chat V1 by Felladrin

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Llama 68M Chat V1 is an open-source language model by Felladrin. Features: 68m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.17, Arc: 23.3, HellaSwag: 28.3, MMLU: 25.2.

Base model:finetune:jackfram/l...   Base model:jackfram/llama-68m   Conversational Dataset:amod/mental health cou... Dataset:cognitivecomputations/... Dataset:databricks/databricks-... Dataset:mlabonne/chatml dpo pa...   Dataset:open-orca/openorca   Dataset:sablo/oasst2 curated Dataset:starfishmedical/webgpt...   Dataset:thudm/webglm-qa Dataset:totally-not-an-llm/eve...   Deploy:azure   En   Endpoints compatible   Llama   Model-index   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Felladrin/Llama-68M-Chat-v1 

Llama 68M Chat V1 Benchmarks

ARC: 23.29 vs 96.7 (so35)-75.9%
HellaSwag: 28.27 vs 95.3 (gpt4)-70.3%
MMLU: 25.18 vs 88.3 (so35)-71.5%
LLME Score: 0.1697
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 68M Chat V1 (Felladrin/Llama-68M-Chat-v1)
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Llama 68M Chat V1 Parameters and Internals

Model Type 
text-generation
LLM NameLlama 68M Chat V1
Repository 🤗https://huggingface.co/Felladrin/Llama-68M-Chat-v1 
Base Model(s)  Llama 68M   JackFram/llama-68m
Model Size68m
Required VRAM0.3 GB
Updated2026-05-20
MaintainerFelladrin
Model Typellama
Model Files  0.3 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Llama 68M Chat V1

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Context / RAM
Downloads
Likes
Llama 68M Fft4K / 0.1 GB6590
Llama 43M Beta2K / 0.2 GB60
Llama 68M2K / 0 GB19503536
Vicuna 68M2K / 0.3 GB64106
Gpt2 Sft Dutch2K / 0.1 GB60
Jack 68M Text Structurization2K / 0.1 GB102
Llama 68M Oasst Top12K / 0.3 GB100
Llama 68M Oasst2K / 0.3 GB60
Llama 68M Finetuned Wikitext22K / 0.3 GB100
JackFram Llama 68M2K / 0.3 GB185
Note: green Score (e.g. "73.2") means that the model is better than Felladrin/Llama-68M-Chat-v1.

Rank the Llama 68M Chat V1 Capabilities

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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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