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Prem 1B Chat 32K by ucalyptus

 »  All LLMs  »  ucalyptus  »  Prem 1B Chat 32K   URL Share it on

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  Arxiv:2309.10400   Adapter Base model:adapter:premai-io/p... Base model:premai-io/prem-1b-c...   Finetuned   Generated from trainer   Llama   Lora   Peft   Region:us   Safetensors   Tensorboard
Model Card on HF 🤗: https://huggingface.co/ucalyptus/prem-1B-chat-32k 

Prem 1B Chat 32K Benchmarks

LLME Score: 0.16806
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Prem 1B Chat 32K Parameters and Internals

Model Type 
LlamaForCausalLM
Additional Notes 
The model was built using Axolotl, version 0.4.0, and employs strategies such as using a learning rate of 1e-05, Adam optimizer, and a cosine learning rate scheduler. Gradient checkpointing is used with multi-device setup.
Training Details 
Data Sources:
Argilla DPO dataset
Methodology:
The model is fine-tuned on the Argilla DPO dataset with 32K context extended using PoSE method.
Context Length:
8192
Hardware Used:
multi-GPU, num_devices: 8
LLM NamePrem 1B Chat 32K
Repository 🤗https://huggingface.co/ucalyptus/prem-1B-chat-32k 
Base Model(s)  Prem 1B Chat   premai-io/prem-1B-chat
Model Size1b
Required VRAM1.4 GB
Updated2025-06-09
Maintainerucalyptus
Model Files  1.4 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|o_proj|v_proj|k_proj
LoRA Alpha1024
LoRA Dropout0.1
R Param1024
Prem 1B Chat 32K (ucalyptus/prem-1B-chat-32k)

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Note: green Score (e.g. "73.2") means that the model is better than ucalyptus/prem-1B-chat-32k.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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