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Zephyr Quiklang 3B by Walmart-the-bag

 »  All LLMs  »  Walmart-the-bag  »  Zephyr Quiklang 3B   URL Share it on

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Base model:finetune:stabilitya... Base model:stabilityai/stablel...   Causal lm   Conversational   Custom code   Dataset:teknium/openhermes Dataset:unalignment/toxic-dpo-...   Feature-extraction   Pytorch   Region:us   Safetensors   Stablelm epoch
Model Card on HF 🤗: https://huggingface.co/Walmart-the-bag/zephyr-quiklang-3b 

Zephyr Quiklang 3B Benchmarks

LLME Score: 0.15845
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr Quiklang 3B (Walmart-the-bag/zephyr-quiklang-3b)

Zephyr Quiklang 3B Parameters and Internals

Model Type 
causal_lm
Training Details 
Data Sources:
teknium/openhermes, unalignment/toxic-dpo-v0.1
Data Volume:
10000 samples
Context Length:
1024
Hardware Used:
1xA6000-48GB
LLM NameZephyr Quiklang 3B
Repository 🤗https://huggingface.co/Walmart-the-bag/zephyr-quiklang-3b 
Base Model(s)  Stablelm Zephyr 3B   stabilityai/stablelm-zephyr-3b
Model Size3b
Required VRAM5.9 GB
Updated2025-02-05
MaintainerWalmart-the-bag
Model Typestablelm_epoch
Model Files  5.9 GB   5.9 GB   0.0 GB
Model ArchitectureStableLMEpochForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50304
Torch Data Typefloat16

Quantized Models of the Zephyr Quiklang 3B

Model
Likes
Downloads
VRAM
Zephyr Quiklang 3B GGUF4571 GB
Zephyr Quiklang 3B GPTQ1171 GB

Best Alternatives to Zephyr Quiklang 3B

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Memphis Scribe 3B Alpha4K / 5.6 GB1182
Note: green Score (e.g. "73.2") means that the model is better than Walmart-the-bag/zephyr-quiklang-3b.

Rank the Zephyr Quiklang 3B 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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