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34B Beta by CausalLM

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CausalLM/34b-beta 

34B Beta Benchmarks

MMLU Pro: 48.06
GPQA: 12.86
MUSR: 6.92
BBH: 36.68
IFEval: 30.43 vs 88 (so35)-65.4%
ARC: 70.56 vs 96.7 (so35)-27%
HellaSwag: 84.2 vs 95.3 (gpt4)-11.6%
MMLU: 85.6 vs 88.3 (so35)-3.1%
TruthfulQA: 58.38 vs 59 (gpt4)-1.1%
WinoGrande: 81.29 vs 87.5 (gpt4)-7.1%
GSM8K: 58.23 vs 96.4 (so35)-39.6%
MATH Lvl 5: 4.83
LLME Score: 0.26477
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
34B Beta (CausalLM/34b-beta)

34B Beta Parameters and Internals

Model Type 
chat
Additional Notes 
No repetition penalty.
Input Output 
Input Format:
chatml
Performance Tips:
Use q8_0 quantization with llama.cpp for better performance than bf16 vllm for this model.
Release Notes 
Version:
Next version update
Notes:
Issues with model weights in terms of precision will be fixed. Avoid using accelerated inference frameworks like VLLM temporarily. Use Transformers for inference.
LLM Name34B Beta
Repository 🤗https://huggingface.co/CausalLM/34b-beta 
Model Size34b
Required VRAM69.2 GB
Updated2025-03-12
MaintainerCausalLM
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
Licensegpl-3.0
Context Length200000
Model Max Length200000
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

Quantized Models of the 34B Beta

Model
Likes
Downloads
VRAM
34B Beta GGUF414012 GB

Best Alternatives to 34B Beta

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Faro Yi 34B195K / 69.2 GB19566
Dolphin 2.2 Yi 34B 200K195K / 69.2 GB206636
Deepmoney 34B 200K Base195K / 68.9 GB184969
Note: green Score (e.g. "73.2") means that the model is better than CausalLM/34b-beta.

Rank the 34B Beta 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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Release v20241227
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