What are the hardware requirements for Experiment26 Truthy Iter 0?

Experiment26 Truthy Iter 0 requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Experiment26 Truthy Iter 0 and how large is it?

Experiment26 Truthy Iter 0 is developed by rwitz, a model with 7.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Experiment26 Truthy Iter 0 perform on standard benchmarks?

Experiment26 Truthy Iter 0 has the following published scores: MMLU 64.35. Compare against reference models on this page or on the LLM Explorer leaderboards.

Experiment26 Truthy Iter 0 by rwitz — VRAM 14.4GB, 32K context

Name: Experiment26 Truthy Iter 0
Author: rwitz

Experiment26 Truthy Iter 0 is an open-source language model by rwitz. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: mit, LLM Explorer Score: 0.11, Arc: 73.3, HellaSwag: 89.1, MMLU: 64.4, GSM8K: 70.4.

Arxiv:1910.09700 Autotrain compatible Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rwitz/experiment26-truthy-iter-0

Experiment26 Truthy Iter 0 Parameters and Internals

LLM Name	Experiment26 Truthy Iter 0
Repository 🤗	https://huggingface.co/rwitz/experiment26-truthy-iter-0
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2024-10-02
Maintainer	rwitz
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Experiment26 Truthy Iter 0 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 Experiment26 Truthy Iter 0

Best Alternatives	Context / RAM	Downloads	Likes
...Web AI HumanAI 012 INSTRUCT XA	512K / 14.4 GB	9	0
...Web AI HumanAI 012 INSTRUCT IA	512K / 14.4 GB	8	0
...Web AI HumanAI 011 INSTRUCT ML	512K / 14.4 GB	7	0
14	512K / 14.5 GB	319	0
SpydazWeb HumanAI M2	512K / GB	38	0
...dazWeb AI HumanAI 011 INSTRUCT	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 009 CHAT	512K / 14.4 GB	6	0
SpydazWeb AI HumanAI 007	512K / 14.4 GB	5	0
SpydazWebAI Human AGI 001	512K / 14.4 GB	6	1
...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than rwitz/experiment26-truthy-iter-0.