OrcaMaidXL 17B 32K By ddh0: Benchmarks, Features and Detailed Analysis. Insights on OrcaMaidXL 17B 32K.

Autotrain compatible Custom code Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ddh0/OrcaMaidXL-17B-32k

OrcaMaidXL 17B 32K Benchmarks

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

OrcaMaidXL 17B 32K (ddh0/OrcaMaidXL-17B-32k)

OrcaMaidXL 17B 32K Parameters and Internals

Model Type

text-generation

Additional Notes

Combination of Microsoft's Orca-2-13b and Undi and IkariDev's Noromaid-v0.2-13b.

Training Details

Methodology:

Frankenmerge of Orca-2-13b and Noromaid-v0.2-13b

Context Length:

32768

Input Output

Input Format:

Alpaca prompt format

Accepted Modalities:

text

Output Format:

Text responses

Performance Tips:

Customize the system prompt for best results

LLM Name	OrcaMaidXL 17B 32K
Repository 🤗	https://huggingface.co/ddh0/OrcaMaidXL-17B-32k
Model Size	17b
Required VRAM	34.9 GB
Updated	2025-05-01
Maintainer	ddh0
Model Type	llama
Model Files	18.0 GB: 1-of-2 16.9 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Quantized Models of the OrcaMaidXL 17B 32K

Model	Likes	Downloads	VRAM
OrcaMaidXL 17B 32K GGUF	6	2707	7 GB
OrcaMaidXL 17B 32K GPTQ	3	4	9 GB
OrcaMaidXL 17B 32K AWQ	1	2	9 GB

Best Alternatives to OrcaMaidXL 17B 32K

Best Alternatives	Context / RAM	Downloads	Likes
...ollm2 17B Distill R1 670B Math	8K / 3.4 GB	5	0
...aMaidXL 17B 32K 6.0bpw H6 EXL2	32K / 13.4 GB	2	1
...aMaidXL 17B 32K 4.0bpw H6 EXL2	32K / 9 GB	2	1
OrcaMaidXL 17B 32K GPTQ	32K / 9.6 GB	4	3
OrcaMaidXL 17B 32K AWQ	32K / 9.6 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than ddh0/OrcaMaidXL-17B-32k.

Rank the OrcaMaidXL 17B 32K Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241227

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