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Small Mistral 1 by ThorBaller

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/p... Base model:unsloth/phi-3-mini-...   Bitsandbytes   Conversational   Dataset:qiaojin/pubmedqa   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ThorBaller/small_mistral_1 

Small Mistral 1 Benchmarks

LLME Score: 0.20507
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Small Mistral 1 (ThorBaller/small_mistral_1)

Small Mistral 1 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
The model was developed with Unsloth and the Huggingface TRL library.
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameSmall Mistral 1
Repository 🤗https://huggingface.co/ThorBaller/small_mistral_1 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Model Size2.1b
Required VRAM2.3 GB
Updated2024-12-22
MaintainerThorBaller
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

Best Alternatives to Small Mistral 1

Best Alternatives
Context / RAM
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Likes
...hi 3 Mini 4K Instruct Bnb 4bit4K / 2.3 GB1272627
...3 Mini 4K Instruct V0 Bnb 4bit4K / 2.3 GB602
Phi 4K Gsm8k4K / 2.3 GB190
Phi 3 Autocomplete Search4K / 2.3 GB110
Phi3 Mini New Model Demo24K / 2.3 GB170
MediChat Medium4K / 2.3 GB101
Hf4K / 2.3 GB90
Recophi3 4bit4K / 2.3 GB170
Phi3 MeetingQA 4bit4K / 2.3 GB200
...3 Mini 4K Instruct Ita Orpo V24K / 2.3 GB160
Note: green Score (e.g. "73.2") means that the model is better than ThorBaller/small_mistral_1.

Rank the Small Mistral 1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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