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Yi 34B 200K AEZAKMI RAW 1701 by adamo1139

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Yi 34B 200K AEZAKMI RAW 1701 is an open-source language model by adamo1139. Features: 34b LLM, VRAM: 69.2GB, Context: 195K, License: apache-2.0, HF Score: 71, LLM Explorer Score: 0.12, Arc: 66.8, HellaSwag: 85.8, MMLU: 75.4, TruthfulQA: 57.9, WinoGrande: 80.4, GSM8K: 60.

  Dpo   Endpoints compatible   Fine tune   Finetuned   Llama   Model-index   Region:us   Safetensors   Sft   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701 

Yi 34B 200K AEZAKMI RAW 1701 Benchmarks

ARC: 66.81 vs 96.7 (so35)-30.9%
HellaSwag: 85.79 vs 95.3 (gpt4)-10%
MMLU: 75.44 vs 88.3 (so35)-14.6%
TruthfulQA: 57.91 vs 59 (gpt4)-1.8%
WinoGrande: 80.35 vs 87.5 (gpt4)-8.2%
GSM8K: 59.97 vs 96.4 (so35)-37.8%
LLME Score: 0.12496
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 AEZAKMI RAW 1701 (adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701)
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Yi 34B 200K AEZAKMI RAW 1701 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is experimental and might be buggy. The strength of DPO and SFT is not perfected yet.
Training Details 
Methodology:
Yi-34B-200K trained via DPO on RAWrr_v1 at ctx 200 (lora_r 4, lora_alpha 8) and then via SFT at ctx 1400 (lora_r 16, lora_alpha 32) on AEZAKMI_v2.
LLM NameYi 34B 200K AEZAKMI RAW 1701
Repository 🤗https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701 
Model Size34b
Required VRAM69.2 GB
Updated2026-05-04
Maintaineradamo1139
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

Quantized Models of the Yi 34B 200K AEZAKMI RAW 1701

Model
Likes
Downloads
VRAM
...34B 200K Aezakmi Raw 1902 EXL21520 GB

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Bagel Hermes 34B Slerp195K / 68.9 GB80781
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Smaug 34B V0.1195K / 69.2 GB831364
Yi 34B 200K195K / 68.9 GB10271320
Casual Magnum 34B195K / 68.8 GB131
Bagel 34B V0.2195K / 68.7 GB275241
Yi 34B 200K AEZAKMI V2195K / 69.2 GB53712
Smaug 34B V0.1 ExPO195K / 69.2 GB77380
Bagel DPO 34B V0.5195K / 68.7 GB813117
Faro Yi 34B195K / 69.2 GB82306
Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701.

Rank the Yi 34B 200K AEZAKMI RAW 1701 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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