Huskylm 2.5 8B By darkcloudai: Benchmarks, Features and Detailed Analysis. Insights on Huskylm 2.5 8B.

Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Darkcloudai Dataset:ai2 arc Dataset:allenai/ultrafeedback ... Dataset:argilla/distilabel-int... Dataset:b-mc2/sql-create-conte... Dataset:bluemoon-fandom-1-1-rp... Dataset:boolq Dataset:cakiki/rosetta-code Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:codeparrot/apps Dataset:darkcloudai-generaldpo Dataset:darkcloudai-smallmodel... Dataset:darkcloudai-unalignmen... Dataset:darkcloudai-webdriver-... Dataset:facebook/belebele Dataset:glaiveai/glaive-functi... Dataset:grimulkan/limarp-augme... Dataset:jondurbin/airoboros-3.... Dataset:jondurbin/cinematika-v... Dataset:jondurbin/contextual-d... Dataset:jondurbin/gutenberg-dp... Dataset:jondurbin/py-dpo-v0.1 Dataset:jondurbin/truthy-dpo-v... Dataset:kingbri/pippa-sharegpt Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:mattpscott/airoboros-s... Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in... Dataset:open-orca/slimorca Dataset:openbookqa Dataset:parisneo/lollms aware ... Dataset:piqa Dataset:ropes Dataset:squad v2 Dataset:tiger-lab/mathinstruct Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Dataset:whiterabbitneo/wrn-cha... Dataset:whiterabbitneo/wrn-cha... Dataset:winogrande Dataset:wizardlm/wizardlm evol... En Endpoints compatible Huskylm Instruct Llama Llama-3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/darkcloudai/huskylm-2.5-8b

Huskylm 2.5 8B Benchmarks

LLME Score: 0.19527

^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)

Huskylm 2.5 8B (darkcloudai/huskylm-2.5-8b)

Huskylm 2.5 8B Parameters and Internals

Model Type

text generation, chat

Use Cases

Areas:

General-purpose chat, Assistance with writing and coding, Live chat agent, In-game NPC interactions

Applications:

Conversational agents, Programming assistance, Customer support, Gaming

Primary Use Cases:

Interactive dialogue, Text generation

Limitations:

Potential for biases, Limited context window of 8192 tokens, Possibility of errors

Considerations:

Users should verify critical information and be aware of potential biases.

Additional Notes

Ongoing development with plans to increase context window to 128k tokens.

Supported Languages

English (High), Chinese (High), Spanish (High), French (High), Polish (High), Others (High)

Training Details

Data Sources:

darkcloudai-smallmodel-frontieredition, darkcloudai-webdriver-redditcrawl-2023, darkcloudai-unalignment-truthfulness, darkcloudai-generaldpo, ai2_arc, allenai/ultrafeedback_binarized_cleaned, argilla/distilabel-intel-orca-dpo-pairs, jondurbin/airoboros-3.2, codeparrot/apps, facebook/belebele, bluemoon-fandom-1-1-rp-cleaned, boolq, camel-ai/biology, camel-ai/chemistry, camel-ai/math, camel-ai/physics, jondurbin/contextual-dpo-v0.1, jondurbin/gutenberg-dpo-v0.1, jondurbin/py-dpo-v0.1, jondurbin/truthy-dpo-v0.1, LDJnr/Capybara, jondurbin/cinematika-v0.1, WizardLM/WizardLM_evol_instruct_70k, glaiveai/glaive-function-calling-v2, grimulkan/LimaRP-augmented, lmsys/lmsys-chat-1m, ParisNeo/lollms_aware_dataset, TIGER-Lab/MathInstruct, Muennighoff/natural-instructions, openbookqa, kingbri/PIPPA-shareGPT, piqa, Vezora/Tested-22k-Python-Alpaca, ropes, cakiki/rosetta-code, Open-Orca/SlimOrca, b-mc2/sql-create-context, squad_v2, mattpscott/airoboros-summarization, migtissera/Synthia-v1.3, unalignment/toxic-dpo-v0.2, WhiteRabbitNeo/WRN-Chapter-1, WhiteRabbitNeo/WRN-Chapter-2, winogrande

Methodology:

Direct Preference Optimization (DPO) and Reinforcement Learning from Artificial Intelligence Feedback (RLAIF) with traditional SFT (Supervised Fine-Tuning)

Context Length:

8192

Model Architecture:

Llama 3

Input Output

Input Format:

Text prompts with a context window of up to 8192 tokens.

Accepted Modalities:

text

Output Format:

Text

Performance Tips:

For best results, ensure prompts are clear and within context length limits.

LLM Name	Huskylm 2.5 8B
Repository 🤗	https://huggingface.co/darkcloudai/huskylm-2.5-8b
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-02-22
Maintainer	darkcloudai
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Quantized Models of the Huskylm 2.5 8B

Model	Likes	Downloads	VRAM
Huskylm 2.5 8B AWQ	0	80	5 GB

Best Alternatives to Huskylm 2.5 8B

Best Alternatives	Context / RAM	Downloads	Likes
...a 3 8B Instruct Gradient 1048K	1024K / 16.1 GB	3927	680
Mpasila Viking 8B	1024K / 16.1 GB	84	0
Hel V2 8B DARK FICTION	1024K / 16.1 GB	22	0
16	1024K / 16.1 GB	169	0
...di95 LewdStorytellerMix 8B 64K	1024K / 16.1 GB	69	2
Because Im Bored Nsfw1	1024K / 16.1 GB	36	1
12	1024K / 16.1 GB	60	0
MrRoboto ProLong 8B V4b	1024K / 16.1 GB	107	0
MrRoboto ProLong 8B V1a	1024K / 16.1 GB	108	0
MrRoboto ProLong 8B V2a	1024K / 16.1 GB	102	0

Note: green Score (e.g. "73.2") means that the model is better than darkcloudai/huskylm-2.5-8b.

Rank the Huskylm 2.5 8B 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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