Dedicated Endpoints

Run this model inference on single tenant GPU with unmatched speed and reliability at scale.

Learn more
Container

Run this model inference with full control and performance in your environment.

Learn more

Get help setting up a custom Dedicated Endpoints.

Talk with our engineer to get a quote for reserved GPU instances with discounts.

README

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using NousResearch/Hermes-3-Llama-3.1-8B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

# DARE-TIES merge recipe for 'anarva-8b' (beast model)
# Merges 4 premium Llama-3.1-8B models: Hermes-3, DeepSeek-R1-Distill-Llama, Dolphin-2.9.4, and SuperNova.
merge_method: dare_ties
base_model: NousResearch/Hermes-3-Llama-3.1-8B
dtype: bfloat16
models:
- model: NousResearch/Hermes-3-Llama-3.1-8B
parameters:
density: 0.60
weight: 1.0
- model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
parameters:
density: 0.45
weight: 0.40
- model: cognitivecomputations/dolphin-2.9.4-llama3.1-8b
parameters:
density: 0.45
weight: 0.35
- model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 0.45
weight: 0.30
parameters:
normalize: true
int8_mask: true
tokenizer:
source: "union"
tokens:
"<|im_start|>":
source: "cognitivecomputations/dolphin-2.9.4-llama3.1-8b"
"<|im_end|>":
source: "cognitivecomputations/dolphin-2.9.4-llama3.1-8b"
"<think>":
source: "deepseek-ai/DeepSeek-R1-Distill-Llama-8B"
force: true

Model provider

Ashapu

Model tree

Base

NousResearch/Hermes-3-Llama-3.1-8B

Base

arcee-ai/Llama-3.1-SuperNova-Lite

Base

deepseek-ai/DeepSeek-R1-Distill-Llama-8B

Base

dphn/dolphin-2.9.4-llama3.1-8b

Merged

this model

Modalities

Input

Text

Output

Text

Pricing

Dedicated Endpoints

View details

Supported Functionality

Model APIs

Dedicated Endpoints

Container

More information

Explore FriendliAI today