Since bagel-dpo-34b-v0.2 uses many prompt templates, and Nous-Hermes-2-Yi-34B uses ChatML, you can utilize ChatML and other prompt templates provided by bagel.

Note: I currently do not know which prompt template is best.

ChatML:

<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>

Alpaca (sort of)

Below is an instruction that describes a task.  Write a response that appropriately completes the request.

### Instruction:
{system}
{instruction}

### Response:

Vicuna

{system}
USER: {instruction}
ASSISTANT:

Visit bagel-dpo-34b-v0.2 to try more prompt templates.

Yaml Config to reproduce

yaml

base_model: nontoxic-bagel-34b-v0.2
gate_mode: hidden
dtype: bfloat16

experts:
  - source_model: bagel-dpo-34b-v0.2
    positive_prompts: ["question answering", "Q:", science", "biology", "chemistry", "physics"]

  - source_model: Nous-Hermes-2-Yi-34B
    positive_prompts: ["chat", "math", "reason", "mathematics", "solve", "count", "python", "javascript", "programming", "algorithm", "tell me", "assistant"]

Quantizationed versions

Quantizationed versions of this model is available thanks to TheBloke.

If you would like to support me:

☕ Buy Me a Coffee

LoneStriker/Bagel-Hermes-2x34b-3.0bpw-h6-exl2

Bagel-Hermes-2x34B

Prompt Template(s):

ChatML:

Alpaca (sort of)

Vicuna

Yaml Config to reproduce

Quantizationed versions

GPTQ

GGUF

AWQ

LoneStriker/
Bagel-Hermes-2x34b-3.0bpw-h6-exl2