LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Llama2 7B Merge Orcafamily AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Llama2 7B Merge Orcafamily AWQ   URL Share it on

  5   

Llama2 7B Merge Orcafamily AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 2K, License: mit, Quantized, Merged, LLM Explorer Score: 0.11.

  Merged Model   4-bit   Awq Base model:quantized:yeen214/l... Base model:yeen214/llama2 7b m... Dataset:beaugogh/openorca-mult...   Dataset:open-orca/slimorca   En   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/llama2_7b_merge_orcafamily-AWQ 

Llama2 7b Merge Orcafamily AWQ Benchmarks

LLME Score: 0.10538
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 7B Merge Orcafamily AWQ (TheBloke/llama2_7b_merge_orcafamily-AWQ)
🌟 Advertise your project 🚀

Llama2 7B Merge Orcafamily AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Quantized by TheBloke using AWQ, supported by Massed Compute. The quantized version enables efficient, fast low-bit weight operations with various supported platforms and settings. Dual licensing is noted due to Llama 2's involvement.
Supported Languages 
en (English)
Training Details 
Data Sources:
Open-Orca/SlimOrca, beaugogh/openorca-multiplechoice-10k
Methodology:
Three models were combined, focusing on the best ARC and MMLU performance. The NEFTune method was used for fine-tuning.
Model Architecture:
Built on LLama 7b backbone with fine-tuning using various Orcas datasets.
LLM NameLlama2 7b Merge Orcafamily AWQ
Repository 🤗https://huggingface.co/TheBloke/llama2_7b_merge_orcafamily-AWQ 
Model NameLlama2 7B Merge Orcafamily
Model Creatoryeen heui yeen
Base Model(s)  Llama2 7b Merge Orcafamily   yeen214/llama2_7b_merge_orcafamily
Merged ModelYes
Model Size7b
Required VRAM3.9 GB
Updated2026-01-20
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Llama2 7B Merge Orcafamily AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Smaugv0.1 AWQ195K / 19.3 GB41
Yarn Llama 2 7B 64K AWQ64K / 3.9 GB370
Calm2 7B Chat AWQ32K / 4.4 GB171
Llama 2 7B 32K Instruct AWQ32K / 3.9 GB102
... SWE Llama 7B Updated 4bit AWQ16K / 3.9 GB50
CodeLlama 7B Instruct AWQ16K / 3.9 GB12794
...Llama 7B Python Hf W4 G128 AWQ16K / 3.9 GB12320
Pandalyst 7B V1.2 AWQ16K / 3.9 GB91
Tora Code 7B V1.0 AWQ16K / 3.9 GB80
...eechless Tora Code 7B V1.0 AWQ16K / 3.9 GB211
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/llama2_7b_merge_orcafamily-AWQ.

Rank the Llama2 7B Merge Orcafamily AWQ 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  

What open-source LLMs or SLMs are you in search of? 52473 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer