
# OpenChatRWKV 430m r2

This is a finetune of RWKV-v4neo 430m on `openchatgpt safe r2` dataset. `r2` shares no data with the `r1`, even the greetings, making this finetune, in some ways, inferiour to the original on `r1`.

## Key differences with `openchatrwkv-430m`

One of the key differences is using an actual token for the instant message separation, apart from the new dataset.

## Differences with `openchatgpt-neox-125m`

Increased parameter size and different dataset.

## Training data

New dataset was obviously made at a later point in time. Many speculate that ChatGPT has degraded over the months, and I am a strong believer of that aswell - style in which model speaks started to sound different compared to 2-3 months ago.

This model was trained on a mix of natural language and code.

This model does not know how to greet you.
{"language": ["en"], "license": "agpl-3.0", "pipeline_tag": "text-generation"}
text-generation en license:agpl-3.0 region:us
TAGS
#text-generation #en #license-agpl-3.0 #region-us 


# OpenChatRWKV 430m r2

This is a finetune of RWKV-v4neo 430m on 'openchatgpt safe r2' dataset. 'r2' shares no data with the 'r1', even the greetings, making this finetune, in some ways, inferiour to the original on 'r1'.

## Key differences with 'openchatrwkv-430m'

One of the key differences is using an actual token for the instant message separation, apart from the new dataset.

## Differences with 'openchatgpt-neox-125m'

Increased parameter size and different dataset.

## Training data

New dataset was obviously made at a later point in time. Many speculate that ChatGPT has degraded over the months, and I am a strong believer of that aswell - style in which model speaks started to sound different compared to 2-3 months ago.

This model was trained on a mix of natural language and code.

This model does not know how to greet you.
# OpenChatRWKV 430m r2

This is a finetune of RWKV-v4neo 430m on 'openchatgpt safe r2' dataset. 'r2' shares no data with the 'r1', even the greetings, making this finetune, in some ways, inferiour to the original on 'r1'. ## Key differences with 'openchatrwkv-430m'

One of the key differences is using an actual token for the instant message separation, apart from the new dataset. ## Differences with 'openchatgpt-neox-125m'

Increased parameter size and different dataset. ## Training data

New dataset was obviously made at a later point in time. Many speculate that ChatGPT has degraded over the months, and I am a strong believer of that aswell - style in which model speaks started to sound different compared to 2-3 months ago.

This model was trained on a mix of natural language and code.

This model does not know how to greet you.
TAGS
#text-generation #en #license-agpl-3.0 #region-us 
 # OpenChatRWKV 430m r2

This is a finetune of RWKV-v4neo 430m on 'openchatgpt safe r2' dataset. 'r2' shares no data with the 'r1', even the greetings, making this finetune, in some ways, inferiour to the original on 'r1'. ## Key differences with 'openchatrwkv-430m'

One of the key differences is using an actual token for the instant message separation, apart from the new dataset. ## Differences with 'openchatgpt-neox-125m'

Increased parameter size and different dataset. ## Training data

New dataset was obviously made at a later point in time. Many speculate that ChatGPT has degraded over the months, and I am a strong believer of that aswell - style in which model speaks started to sound different compared to 2-3 months ago.

This model was trained on a mix of natural language and code.

This model does not know how to greet you.
TAGS
#text-generation #en #license-agpl-3.0 #region-us 
# OpenChatRWKV 430m r2

This is a finetune of RWKV-v4neo 430m on 'openchatgpt safe r2' dataset. 'r2' shares no data with the 'r1', even the greetings, making this finetune, in some ways, inferiour to the original on 'r1'.## Key differences with 'openchatrwkv-430m'

One of the key differences is using an actual token for the instant message separation, apart from the new dataset.## Differences with 'openchatgpt-neox-125m'

Increased parameter size and different dataset.## Training data

New dataset was obviously made at a later point in time. Many speculate that ChatGPT has degraded over the months, and I am a strong believer of that aswell - style in which model speaks started to sound different compared to 2-3 months ago.

This model was trained on a mix of natural language and code.

This model does not know how to greet you.