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Fireball Mistral Nemo Base 2407 Sft V1 by EpistemeAI

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-nem...   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Fireball Mistral Nemo Base 2407 Sft V1 Benchmarks

LLME Score: 0.25845
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Fireball Mistral Nemo Base 2407 Sft V1 Parameters and Internals

LLM NameFireball Mistral Nemo Base 2407 Sft V1
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v1 
Base Model(s)  ...istral Nemo Base 2407 Bnb 4bit   unsloth/Mistral-Nemo-Base-2407-bnb-4bit
Model Size12.2b
Required VRAM24.5 GB
Updated2024-08-31
MaintainerEpistemeAI
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Fireball Mistral Nemo Base 2407 Sft V1 (EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v1)

Quantized Models of the Fireball Mistral Nemo Base 2407 Sft V1

Model
Likes
Downloads
VRAM
...Nemo Base 2407 Sft V2 F16 Gguf04424 GB

Best Alternatives to Fireball Mistral Nemo Base 2407 Sft V1

Best Alternatives
Context / RAM
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Likes
...all MathMistral Nemo Base 24071000K / 24.5 GB611
Azure Dusk V0.21000K / 24.5 GB655
Crimson Dawn V0.21000K / 24.5 GB1127
...istral Nemo Base 2407 Sft V2.11000K / 24.5 GB311
Mistral Nemo Instruct 24071000K / 24.5 GB51385
...Mistral Nemo Base 2407 V1 DPO21000K / 24.5 GB230
ChatWaifu V1.3.11000K / 24.5 GB3324
Crimson Dawn V0.11000K / 24.5 GB19712
...h Mistral Nemo Base 2407 Model1000K / 24.5 GB1660
...h Mistral Nemo Base 2407 Model1000K / 24.5 GB1410
Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v1.

Rank the Fireball Mistral Nemo Base 2407 Sft 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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