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Yi 34B 200K Aezakmi V2 Rawrr V1 Run1 Experimental LoRA by adamo1139

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Yi 34B 200K Aezakmi V2 Rawrr V1 Run1 Experimental LoRA is an open-source language model by adamo1139. Features: 34b LLM, VRAM: 0.5GB, LLM Explorer Score: 0.11.

  4-bit   Adapter   Bitsandbytes   Finetuned   Generated from trainer   Llama   Lora   Peft   Region:us
Model Card on HF 🤗: https://huggingface.co/adamo1139/yi-34b-200k-aezakmi-v2-rawrr-v1-run1-experimental-LoRA 

Yi 34B 200K Aezakmi V2 Rawrr V1 Run1 Experimental LoRA Benchmarks

LLME Score: 0.11389
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 V2 Rawrr V1 Run1 Experimental LoRA (adamo1139/yi-34b-200k-aezakmi-v2-rawrr-v1-run1-experimental-LoRA)
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Yi 34B 200K Aezakmi V2 Rawrr V1 Run1 Experimental LoRA Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
If you want to re-create the model from this, first get yourself Yi-34B-200K llama-fied, then merge in LoRA from adamo1139/Yi-34B-200K-rawrr1-LORA-DPO-experimental-r2. It's all pretty experimental.
Training Details 
Data Sources:
aezakmi_v2_draft2.jsonl
Methodology:
This LoRA has been trained using DPO (I think I will re-run DPO training on rawrr with maybe a bit longer context and with higher lr or epoch count).
Context Length:
1400
LLM NameYi 34B 200K Aezakmi V2 Rawrr V1 Run1 Experimental LoRA
Repository 🤗https://huggingface.co/adamo1139/yi-34b-200k-aezakmi-v2-rawrr-v1-run1-experimental-LoRA 
Model Size34b
Required VRAM0.5 GB
Updated2026-04-18
Maintaineradamo1139
Model Files  0.5 GB
Model ArchitectureAdapter
Model Max Length200000
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|down_proj|gate_proj|k_proj|o_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than adamo1139/yi-34b-200k-aezakmi-v2-rawrr-v1-run1-experimental-LoRA.

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