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Llama 2 7B Guanaco Instruct Sharded by guardrail

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  Autotrain compatible Dataset:timdettmers/openassist...   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/guardrail/llama-2-7b-guanaco-instruct-sharded 

Llama 2 7B Guanaco Instruct Sharded Benchmarks

ARC: 53.75 vs 96.7 (so35)-44.4%
HellaSwag: 78.69 vs 95.3 (gpt4)-17.4%
MMLU: 46.65 vs 88.3 (so35)-47.2%
TruthfulQA: 43.93 vs 59 (gpt4)-25.5%
WinoGrande: 72.61 vs 87.5 (gpt4)-17%
GSM8K: 7.81 vs 96.4 (so35)-91.9%
LLME Score: 0.13829
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 2 7B Guanaco Instruct Sharded Parameters and Internals

Model Type 
text-generation
Additional Notes 
Sharded to be used on a free Google Colab instance that can be loaded with 4bits.
Training Details 
Data Sources:
timdettmers/openassistant-guanaco
Methodology:
Fine-tuned in 4-bit precision using QLoRA
LLM NameLlama 2 7B Guanaco Instruct Sharded
Repository 🤗https://huggingface.co/guardrail/llama-2-7b-guanaco-instruct-sharded 
Model Size7b
Required VRAM26.9 GB
Updated2025-06-10
Maintainerguardrail
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-14   1.9 GB: 2-of-14   1.9 GB: 3-of-14   2.0 GB: 4-of-14   1.9 GB: 5-of-14   2.0 GB: 6-of-14   1.9 GB: 7-of-14   1.9 GB: 8-of-14   2.0 GB: 9-of-14   1.9 GB: 10-of-14   2.0 GB: 11-of-14   1.9 GB: 12-of-14   1.9 GB: 13-of-14   1.7 GB: 14-of-14
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32
Llama 2 7B Guanaco Instruct Sharded (guardrail/llama-2-7b-guanaco-instruct-sharded)

Quantized Models of the Llama 2 7B Guanaco Instruct Sharded

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VRAM
...lama 2 7B Guanaco 8bit Sharded4317 GB

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Jessi V0.6 Falcon3 7B Instruct32K / 14.8 GB90
Note: green Score (e.g. "73.2") means that the model is better than guardrail/llama-2-7b-guanaco-instruct-sharded.

Rank the Llama 2 7B Guanaco Instruct Sharded 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 v20241124
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