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Vinallama 7B Chat by vilm

 »  All LLMs  »  vilm  »  Vinallama 7B Chat   URL Share it on

  463   
  Arxiv:2312.11011   Autotrain compatible   Conversational   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Vi
Model Card on HF 🤗: https://huggingface.co/vilm/vinallama-7b-chat 

Vinallama 7B Chat Benchmarks

LLME Score: 0.16136
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vinallama 7B Chat (vilm/vinallama-7b-chat)

Vinallama 7B Chat Parameters and Internals

LLM NameVinallama 7B Chat
Repository 🤗https://huggingface.co/vilm/vinallama-7b-chat 
Model Size7b
Required VRAM13.7 GB
Updated2025-02-22
Maintainervilm
Model Typellama
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.8 GB: 3-of-3   9.9 GB: 1-of-2   3.8 GB: 2-of-2
Supported Languagesvi
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size46305
Torch Data Typebfloat16

Quantized Models of the Vinallama 7B Chat

Model
Likes
Downloads
VRAM
VinhLLama2V1 GGUF Q4 K M064 GB
Model054 GB
Vinallama 7B Chat Gguf1513 GB
Vinallama 7B Chat AWQ1104 GB

Best Alternatives to Vinallama 7B Chat

Best Alternatives
Context / RAM
Downloads
Likes
2 Very Sci Fi1024K / 16.1 GB3170
...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB231
... Qwen2.5llamaify 7B V23.1 200K195K / 15.2 GB39433
LlamaStock 8B128K / 16.1 GB111
SuperNeuralDreadDevil 8B128K / 16.1 GB541
Yarn Llama 2 7B 128K128K / 13.5 GB642239
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB73
LLaMA 7B PoSE Linear 96K96K / 27 GB92
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB111
Chat Llama2 7B 80K80K / 13.8 GB80
Note: green Score (e.g. "73.2") means that the model is better than vilm/vinallama-7b-chat.

Rank the Vinallama 7B Chat 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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Release v20241227
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