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Yi 34B 200K AWQ by TheBloke

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Yi 34B 200K AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 19.3GB, Context: 195K, License: other, Quantized, LLM Explorer Score: 0.1.

  4-bit   Autotrain compatible   Awq   Base model:01-ai/yi-34b-200k Base model:quantized:01-ai/yi-...   Custom code   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/TheBloke/Yi-34B-200K-AWQ 

Yi 34B 200K AWQ Benchmarks

LLME Score: 0.10195
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B 200K AWQ (TheBloke/Yi-34B-200K-AWQ)
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Yi 34B 200K AWQ Parameters and Internals

Model Type 
language model
Supported Languages 
English (Bilingual), Chinese (Bilingual)
Input Output 
Input Format:
{prompt}
LLM NameYi 34B 200K AWQ
Repository 🤗https://huggingface.co/TheBloke/Yi-34B-200K-AWQ 
Model NameYi 34B 200K
Model Creator01-ai
Base Model(s)  Yi 34B 200K   01-ai/Yi-34B-200K
Model Size34b
Required VRAM19.3 GB
Updated2025-09-23
MaintainerTheBloke
Model Typeyi
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureYiForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.0
Tokenizer ClassYiTokenizer
Vocabulary Size64000
Torch Data Typefloat16

Best Alternatives to Yi 34B 200K AWQ

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Context / RAM
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Yi 34B 200K AWQ195K / 19.3 GB101
Yi 34B AWQ4K / 19.3 GB117
...lpaca Rpv3 Scipy 4bpw Hb6 EXL2195K / 18.7 GB112
...200K Alpaca Rpv3 4bpw Hb6 EXL2195K / 18.7 GB132
Yi 34B 200K 4.65bpw H6 EXL2195K / 20.8 GB76
Yi 34B 200K 8.0bpw H8 EXL2195K / 34.8 GB63
Yi 34B 200K 4.0bpw H6 EXL2195K / 18.1 GB53
Yi 34B 200K 5.0bpw H6 EXL2195K / 22.3 GB51
Deepsex 34B 4bpw H8 EXL24K / 18.1 GB145
Deepsex 34B 4bpw H6 EXL24K / 18.1 GB84
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-AWQ.

Rank the Yi 34B 200K 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  

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