Garten2-7B-GGUF

Description

This repo contains GGUF format model files for Garten2-7B-GGUF.

Files Provided

Name	Quant	Bits	File Size	Remark
garten2-7b.IQ3_XXS.gguf	IQ3_XXS	3	3.02 GB	3.06 bpw quantization
garten2-7b.IQ3_S.gguf	IQ3_S	3	3.18 GB	3.44 bpw quantization
garten2-7b.IQ3_M.gguf	IQ3_M	3	3.28 GB	3.66 bpw quantization mix
garten2-7b.Q4_0.gguf	Q4_0	4	4.11 GB	3.56G, +0.2166 ppl
garten2-7b.IQ4_NL.gguf	IQ4_NL	4	4.16 GB	4.25 bpw non-linear quantization
garten2-7b.Q4_K_M.gguf	Q4_K_M	4	4.37 GB	3.80G, +0.0532 ppl
garten2-7b.Q5_K_M.gguf	Q5_K_M	5	5.13 GB	4.45G, +0.0122 ppl
garten2-7b.Q6_K.gguf	Q6_K	6	5.94 GB	5.15G, +0.0008 ppl
garten2-7b.Q8_0.gguf	Q8_0	8	7.70 GB	6.70G, +0.0004 ppl

Parameters

path	type	architecture	rope_theta	sliding_win	max_pos_embed
senseable/Garten2-7B	mistral	MistralForCausalLM	10000.0	4096	32768

Benchmarks

Original Model Card

Details

Introducing Garten2-7B, a cutting-edge, small 7B all-purpose Language Model (LLM), designed to redefine the boundaries of artificial intelligence in natural language understanding and generation. Garten2-7B stands out with its unique architecture, expertly crafted to deliver exceptional performance in a wide array of tasks, from conversation to content creation.