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Mistral Passthrough 8L 10B by DeepKarkhanis

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Mistral Passthrough 8L 10B is an open-source language model by DeepKarkhanis. Features: 10b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.12, Arc: 67.6, HellaSwag: 86.2, MMLU: 64.1, GSM8K: 68.2.

  Merged Model   Endpoints compatible   Instruct   Mistral Mistralai/mistral-7b-instruct-...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DeepKarkhanis/Mistral-Passthrough-8L-10B 

Mistral Passthrough 8L 10B Benchmarks

ARC: 67.58 vs 96.7 (so35)-30.1%
HellaSwag: 86.17 vs 95.3 (gpt4)-9.6%
MMLU: 64.06 vs 88.3 (so35)-27.5%
GSM8K: 68.23 vs 96.4 (so35)-29.2%
LLME Score: 0.12442
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Passthrough 8L 10B (DeepKarkhanis/Mistral-Passthrough-8L-10B)
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Mistral Passthrough 8L 10B Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is a merged model using LazyMergekit from mistralai/Mistral-7B-Instruct-v0.2 twice.
Training Details 
Methodology:
Merge of layers using LazyMergekit
Input Output 
Accepted Modalities:
text
Output Format:
generated text
LLM NameMistral Passthrough 8L 10B
Repository 🤗https://huggingface.co/DeepKarkhanis/Mistral-Passthrough-8L-10B 
Merged ModelYes
Model Size10b
Required VRAM14.5 GB
Updated2026-04-21
MaintainerDeepKarkhanis
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Mistral Passthrough 8L 10B 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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