What are the hardware requirements for Lamarck 14B V0.3?

Lamarck 14B V0.3 requires approximately 29.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lamarck 14B V0.3 and how large is it?

Lamarck 14B V0.3 is developed by sometimesanotion, a model with 14b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Lamarck 14B V0.3?

Lamarck 14B V0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lamarck 14B V0.3 by sometimesanotion — VRAM 29.7GB, 128K context

Name: Lamarck 14B V0.3
Author: sometimesanotion

Lamarck 14B V0.3 is an open-source language model by sometimesanotion. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.26.

Merged Model Autotrain compatible Base model:arcee-ai/virtuoso-s... Base model:cultrix/qwen2.5-14b... Base model:cultrix/seqwence-14... Base model:sthenno-com/miscii-... Base model:underwoods/medius-e... Conversational En Endpoints compatible Model-index Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sometimesanotion/Lamarck-14B-v0.3

Lamarck 14B V0.3 Parameters and Internals

LLM Name	Lamarck 14B V0.3
Repository 🤗	https://huggingface.co/sometimesanotion/Lamarck-14B-v0.3
Base Model(s)	Virtuoso Small SeQwence 14B EvolMerge CultriX/Qwen2.5-14B-Wernicke Miscii 14B 1028 Medius Erebus Magnum 14B Lamarck 14B Prose Model Stock sometimesanotion/lamarck-14b-reason-model_stock arcee-ai/Virtuoso-Small CultriX/SeQwence-14B-EvolMerge CultriX/Qwen2.5-14B-Wernicke sthenno-com/miscii-14b-1028 underwoods/medius-erebus-magnum-14b sometimesanotion/lamarck-14b-prose-model_stock sometimesanotion/lamarck-14b-reason-model_stock
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2025-01-25
Maintainer	sometimesanotion
Model Type	qwen2
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Lamarck 14B V0.3 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Lamarck 14B V0.3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Etr1o V1.2	986K / 29.7 GB	11	0
Impish QWEN 14B 1M	986K / 29.7 GB	56	26

Note: green Score (e.g. "73.2") means that the model is better than sometimesanotion/Lamarck-14B-v0.3.