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NeuralHermes Mistral 13B DARE Blended FAILURE by athirdpath

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NeuralHermes Mistral 13B DARE Blended FAILURE is an open-source language model by athirdpath. Features: 13b LLM, VRAM: 26.7GB, Context: 32K, LLM Explorer Score: 0.11.

  Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE 

NeuralHermes Mistral 13B DARE Blended FAILURE Benchmarks

LLME Score: 0.10569
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralHermes Mistral 13B DARE Blended FAILURE (athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE)
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NeuralHermes Mistral 13B DARE Blended FAILURE Parameters and Internals

Model Type 
text generation
Additional Notes 
There seems to be an issue with the recipe's balance when applying to 13b Mistral models.
Input Output 
Performance Tips:
Inverting and merging techniques work well for certain models, but may require adjustments or further study for others, such as the 13b Mistrals.
LLM NameNeuralHermes Mistral 13B DARE Blended FAILURE
Repository 🤗https://huggingface.co/athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE 
Model Size13b
Required VRAM26.7 GB
Updated2026-03-31
Maintainerathirdpath
Model Typemistral
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.9 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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LuminRP 13B 128K V0.5128K / 25.1 GB102
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Mistral V0.3 13B 32K Base V132K / 25.2 GB60
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Pandora 13B V132K / 24.9 GB6062
Pandora V1 13B32K / 24.9 GB73
BigMistral 13B GLUED32K / 26.6 GB31
BigMistral 13B32K / 26.7 GB32
...stral 13B DARE Blended FAILURE32K / 26.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than athirdpath/NeuralHermes-Mistral-13b-DARE_blended-FAILURE.

Rank the NeuralHermes Mistral 13B DARE Blended FAILURE 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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