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Mike Hawk 9B by GreenerPastures

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Mike Hawk 9B is an open-source language model by GreenerPastures. Features: 9b LLM, VRAM: 21.3GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Base model:finetune:salesforce... Base model:salesforce/xgen-sma...   En   Instruct   Llama   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/GreenerPastures/Mike-Hawk-9B 

Mike Hawk 9B Benchmarks

LLME Score: 0.19861
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mike Hawk 9B (GreenerPastures/Mike-Hawk-9B)
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Mike Hawk 9B Parameters and Internals

LLM NameMike Hawk 9B
Repository 🤗https://huggingface.co/GreenerPastures/Mike-Hawk-9B 
Base Model(s)  Xgen Small 9B Instruct R   Salesforce/xgen-small-9B-instruct-r
Model Size9b
Required VRAM21.3 GB
Updated2025-09-23
MaintainerGreenerPastures
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-5   4.9 GB: 2-of-5   5.0 GB: 3-of-5   4.9 GB: 4-of-5   1.5 GB: 5-of-5   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.52.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size102400
Torch Data Typebfloat16

Best Alternatives to Mike Hawk 9B

Best Alternatives
Context / RAM
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Likes
SekhmetX 9B V0.1 Test256K / 21.2 GB712
SekmetX 9B V0.1 Test256K / 21.2 GB692
Xgen Small 9B Instruct R256K / 42.5 GB2210
Yi Coder 9B Chat Instruct TIES128K / 17.7 GB50
EVA Yi 1.5 9B 32K V132K / 17.7 GB2315
...ity Instruct 3M 0625 Yi 1.5 9B4K / 17.7 GB90043
ChinaLM 9B4K / 17.9 GB131
Llama 3 Experiment V1 9B GGUF8K / 5.4 GB9490
Note: green Score (e.g. "73.2") means that the model is better than GreenerPastures/Mike-Hawk-9B.

Rank the Mike Hawk 9B 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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