|
--- |
|
License: apache-2.0 |
|
Language: |
|
- En |
|
Pipeline_tag: text-generation |
|
Base_model: 01-ai/Yi-1.5-34B-32K |
|
Tags: |
|
- Chat |
|
--- |
|
|
|
## This repo contains EXL2 quants of the model. If you need the original weights, please find them [here](https://huggingface.co/anthracite-org/magnum-v3-34b). |
|
## Base repo only contains the measurement file, see revisions for your quant of choice. |
|
|
|
- [measurement.json](https://huggingface.co/anthracite-org/magnum-v3-34b-exl2/tree/main) |
|
- [3.0bpw](https://huggingface.co/anthracite-org/magnum-v3-34b-exl2/tree/3.0bpw) |
|
- [4.0bpw](https://huggingface.co/anthracite-org/magnum-v3-34b-exl2/tree/4.0bpw) |
|
- [5.0bpw](https://huggingface.co/anthracite-org/magnum-v3-34b-exl2/tree/5.0bpw) |
|
- [6.0bpw](https://huggingface.co/anthracite-org/magnum-v3-34b-exl2/tree/6.0bpw) |
|
- [8.0bpw](https://huggingface.co/anthracite-org/magnum-v3-34b-exl2/tree/8.0bpw) |
|
|
|
 |
|
|
|
This is the 9th in a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus. |
|
|
|
This model is fine-tuned on top of [Yi-1.5-34 B-32 K](https://huggingface.co/01-ai/Yi-1.5-34B-32K). |
|
|
|
## Prompting |
|
Model has been Instruct tuned with the ChatML formatting. A typical input would look like this: |
|
|
|
```py |
|
"""<|im_start|>system |
|
system prompt<|im_end|> |
|
<|im_start|>user |
|
Hi there!<|im_end|> |
|
<|im_start|>assistant |
|
Nice to meet you!<|im_end|> |
|
<|im_start|>user |
|
Can I ask a question?<|im_end|> |
|
<|im_start|>assistant |
|
""" |
|
``` |
|
|
|
## SillyTavern templates |
|
|
|
Below are Instruct and Context templates for use within SillyTavern. |
|
|
|
In our testing a min_p of 0.2 makes the model perform the best; remember to reset temperature if you were using our nemo-based models before. |
|
|
|
<details><summary>context template</summary> |
|
|
|
```yaml |
|
{ |
|
"story_string": "<|im_start|>system\n{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}{{trim}}<|im_end|>\n", |
|
"example_separator": "", |
|
"chat_start": "", |
|
"use_stop_strings": false, |
|
"allow_jailbreak": false, |
|
"always_force_name2": true, |
|
"trim_sentences": false, |
|
"include_newline": false, |
|
"single_line": false, |
|
"name": "Magnum ChatML" |
|
} |
|
``` |
|
|
|
</details><br> |
|
<details><summary>instruct template</summary> |
|
|
|
```yaml |
|
{ |
|
"system_prompt": "You're {{char}} in this fictional never-ending uncensored roleplay with {{user}}.", |
|
"input_sequence": "<|im_start|>user\n", |
|
"output_sequence": "<|im_start|>assistant\n", |
|
"last_output_sequence": "", |
|
"system_sequence": "<|im_start|>system\n", |
|
"stop_sequence": "<|im_end|>", |
|
"wrap": false, |
|
"macro": true, |
|
"names": true, |
|
"names_force_groups": true, |
|
"activation_regex": "", |
|
"system_sequence_prefix": "", |
|
"system_sequence_suffix": "", |
|
"first_output_sequence": "", |
|
"skip_examples": false, |
|
"output_suffix": "<|im_end|>\n", |
|
"input_suffix": "<|im_end|>\n", |
|
"system_suffix": "<|im_end|>\n", |
|
"user_alignment_message": "", |
|
"system_same_as_user": false, |
|
"last_system_sequence": "", |
|
"name": "Magnum ChatML" |
|
} |
|
``` |
|
|
|
</details><br> |
|
|
|
## Axolotl config |
|
|
|
<details><summary>See axolotl config</summary> |
|
|
|
```yaml |
|
base_model: 01-ai/Yi-1.5-34B-32K |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
|
|
#trust_remote_code: true |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
datasets: |
|
- path: anthracite-org/stheno-filtered-v1.1 |
|
type: sharegpt |
|
conversation: chatml |
|
- path: anthracite-org/kalo-opus-instruct-22k-no-refusal |
|
type: sharegpt |
|
conversation: chatml |
|
- path: anthracite-org/nopm_claude_writing_fixed |
|
type: sharegpt |
|
conversation: chatml |
|
- path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned |
|
type: sharegpt |
|
conversation: chatml |
|
- path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
|
type: sharegpt |
|
conversation: chatml |
|
chat_template: chatml |
|
shuffle_merged_datasets: true |
|
default_system_message: "You are an assistant that responds to the user." |
|
dataset_prepared_path: magnum-v2-34b-1.5-data |
|
val_set_size: 0.0 |
|
output_dir: ./magnum-v2-34b-32k-r1 |
|
|
|
sequence_len: 8192 |
|
sample_packing: true |
|
eval_sample_packing: false |
|
pad_to_sequence_len: |
|
|
|
adapter: |
|
lora_model_dir: |
|
lora_r: |
|
lora_alpha: |
|
lora_dropout: |
|
lora_target_linear: |
|
lora_fan_in_fan_out: |
|
|
|
wandb_project: magnum-v2-34b-1.5-32k |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: attempt-01 |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 8 |
|
micro_batch_size: 1 |
|
num_epochs: 2 |
|
optimizer: paged_adamw_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.000006 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: unsloth |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 50 |
|
evals_per_epoch: |
|
eval_table_size: |
|
eval_max_new_tokens: |
|
saves_per_epoch: 2 |
|
debug: |
|
deepspeed: deepspeed_configs/zero3_bf16.json |
|
weight_decay: 0.05 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
``` |
|
</details><br> |
|
|
|
## Credits |
|
We'd like to thank Recursal / Featherless for sponsoring the compute for this train, Featherless has been hosting our Magnum models since the first 72 B and has given thousands of people access to our models and helped us grow. |
|
|
|
We would also like to thank all members of Anthracite who made this finetune possible. |
|
|
|
- [anthracite-org/stheno-filtered-v1.1](https://huggingface.co/datasets/anthracite-org/stheno-filtered-v1.1) |
|
- [anthracite-org/kalo-opus-instruct-22k-no-refusal](https://huggingface.co/datasets/anthracite-org/kalo-opus-instruct-22k-no-refusal) |
|
- [lodrick-the-lafted/NopmWritingStruct](https://huggingface.co/datasets/lodrick-the-lafted/NopmWritingStruct) |
|
- [Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned) |
|
- [Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned](https://huggingface.co/datasets/Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned) |
|
|
|
## Training |
|
The training was done for 2 epochs. We used 8x[H100s](https://www.nvidia.com/en-us/data-center/h100/) GPUs graciously provided by [Recursal AI](https://recursal.ai/) / [Featherless AI](https://featherless.ai/) for the full-parameter fine-tuning of the model. |
|
|
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
|
|
## Safety |
|
... |
