You can deploy this model and start earning money today!

RichardErkhov/
bunnycore_-_Chimera-Apex-7B-gguf

Name: bunnycore_-_Chimera-Apex-7B-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Chimera-Apex-7B - GGUF

Model creator: https://huggingface.co/bunnycore/
Original model: https://huggingface.co/bunnycore/Chimera-Apex-7B/

Name	Quant method	Size
Chimera-Apex-7B.Q2_K.gguf	Q2_K	2.53GB
Chimera-Apex-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Chimera-Apex-7B.IQ3_S.gguf	IQ3_S	2.96GB
Chimera-Apex-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Chimera-Apex-7B.IQ3_M.gguf	IQ3_M	3.06GB
Chimera-Apex-7B.Q3_K.gguf	Q3_K	3.28GB
Chimera-Apex-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Chimera-Apex-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Chimera-Apex-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Chimera-Apex-7B.Q4_0.gguf	Q4_0	3.83GB
Chimera-Apex-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Chimera-Apex-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Chimera-Apex-7B.Q4_K.gguf	Q4_K	4.07GB
Chimera-Apex-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Chimera-Apex-7B.Q4_1.gguf	Q4_1	4.24GB
Chimera-Apex-7B.Q5_0.gguf	Q5_0	4.65GB
Chimera-Apex-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Chimera-Apex-7B.Q5_K.gguf	Q5_K	4.78GB
Chimera-Apex-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Chimera-Apex-7B.Q5_1.gguf	Q5_1	5.07GB
Chimera-Apex-7B.Q6_K.gguf	Q6_K	5.53GB
Chimera-Apex-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

merge
mergekit
lazymergekit

Chimera-Apex-7B

Chimera-Apex-7B is an experimental large language model (LLM) created by merging several high-performance models with the goal of achieving exceptional capabilities.

GGUF: https://huggingface.co/mradermacher/Chimera-Apex-7B-GGUF

Tasks:

Due to the inclusion of various models, Chimera-Apex-7B is intended to be a general-purpose model capable of handling a wide range of tasks, including:

Conversation
Question Answering
Code Generation
(Possibly) NSFW content generation

Limitations:

As an experimental model, Chimera-Apex-7B's outputs may not always be perfect or accurate.
The merged models might introduce biases present in their training data.
It's important to be aware of this limitation when interpreting its outputs.

🧩 Configuration

yaml

models:
  - model: Azazelle/Half-NSFW_Noromaid-7b
  - model: Endevor/InfinityRP-v1-7B
  - model: FuseAI/FuseChat-7B-VaRM
merge_method: model_stock
base_model: cognitivecomputations/dolphin-2.0-mistral-7b
dtype: bfloat16

Chimera-Apex-7B is a merge of the following models using mergekit:

RichardErkhov/bunnycore_-_Chimera-Apex-7B-gguf