34B Beta by CausalLM

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Model Card on HF ๐Ÿค—: https://huggingface.co/CausalLM/34b-beta 

34B Beta Benchmarks

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 ๐Ÿค—https://huggingface.co/CausalLM/34b-beta 
Model Size34b
Required VRAM69.2 GB
Updated2025-01-29
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 GGUF431212 GB

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Yi 34B 200K AEZAKMI V2195K / 69.2 GB96412
Smaug 34B V0.1 ExPO195K / 69.2 GB29300
Faro Yi 34B195K / 69.2 GB37736
Bagel DPO 34B V0.5195K / 68.7 GB262017
Mergekit Slerp Anaazls195K / 69.2 GB50
Note: green Score (e.g. "73.2") means that the model is better than CausalLM/34b-beta.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227