Text Generation
Transformers
Safetensors
Spanish
English
llama
uncensored
abliterated
roleplay
rp
nsfw
1b
4-bit precision
tinyllama
conversational
text-generation-inference
Not-For-All-Audiences
Instructions to use Novaciano/TinyKiller-NSFW-DPO-1.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Novaciano/TinyKiller-NSFW-DPO-1.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Novaciano/TinyKiller-NSFW-DPO-1.1B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Novaciano/TinyKiller-NSFW-DPO-1.1B") model = AutoModelForCausalLM.from_pretrained("Novaciano/TinyKiller-NSFW-DPO-1.1B", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Novaciano/TinyKiller-NSFW-DPO-1.1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Novaciano/TinyKiller-NSFW-DPO-1.1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Novaciano/TinyKiller-NSFW-DPO-1.1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Novaciano/TinyKiller-NSFW-DPO-1.1B
- SGLang
How to use Novaciano/TinyKiller-NSFW-DPO-1.1B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Novaciano/TinyKiller-NSFW-DPO-1.1B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Novaciano/TinyKiller-NSFW-DPO-1.1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Novaciano/TinyKiller-NSFW-DPO-1.1B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Novaciano/TinyKiller-NSFW-DPO-1.1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Novaciano/TinyKiller-NSFW-DPO-1.1B with Docker Model Runner:
docker model run hf.co/Novaciano/TinyKiller-NSFW-DPO-1.1B
Upload folder using huggingface_hub
Browse files- README.md +72 -0
- config.json +30 -0
- mergekit_config.yml +35 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +47 -0
README.md
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---
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base_model:
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- Danielbrdz/Barcenas-Tiny-1.1b-DPO
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- MysteriousAI/Mia-1B
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- cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser
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- mrcuddle/tiny-darkllama-dpo
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- Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct](https://huggingface.co/Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct) as a base.
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### Models Merged
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The following models were included in the merge:
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* [Danielbrdz/Barcenas-Tiny-1.1b-DPO](https://huggingface.co/Danielbrdz/Barcenas-Tiny-1.1b-DPO)
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* [MysteriousAI/Mia-1B](https://huggingface.co/MysteriousAI/Mia-1B)
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* [cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser)
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* [mrcuddle/tiny-darkllama-dpo](https://huggingface.co/mrcuddle/tiny-darkllama-dpo)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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dtype: float32
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out_dtype: bfloat16
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merge_method: model_stock
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base_model: Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct
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models:
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- model: Danielbrdz/Barcenas-Tiny-1.1b-DPO
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parameters:
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weight:
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- filter: mlp
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value: [2, 1]
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- value: 1
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- model: cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser
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parameters:
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weight:
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- filter: mlp
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value: [1, 2]
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- value: 1
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- model: mrcuddle/tiny-darkllama-dpo
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parameters:
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weight:
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- filter: mlp
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value: [1, 2]
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- value: 1
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- model: MysteriousAI/Mia-1B
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parameters:
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weight:
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- filter: mlp
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value: [2, 1]
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- value: 1
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- model: Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct
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parameters:
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weight:
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- filter: lm_head
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value: 0
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- value: [1, 0.5]
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```
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config.json
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{
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"_name_or_path": "Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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| 15 |
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"max_position_embeddings": 32768,
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| 16 |
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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| 19 |
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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| 23 |
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"rope_scaling": null,
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| 24 |
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"rope_theta": 1000000.0,
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| 25 |
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"tie_word_embeddings": false,
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| 26 |
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0",
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"use_cache": false,
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"vocab_size": 32000
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}
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mergekit_config.yml
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dtype: float32
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| 2 |
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out_dtype: bfloat16
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| 3 |
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merge_method: model_stock
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| 4 |
+
base_model: Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct
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| 5 |
+
models:
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| 6 |
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- model: Danielbrdz/Barcenas-Tiny-1.1b-DPO
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| 7 |
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parameters:
|
| 8 |
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weight:
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| 9 |
+
- filter: mlp
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| 10 |
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value: [2, 1]
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| 11 |
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- value: 1
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| 12 |
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- model: cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser
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| 13 |
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parameters:
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| 14 |
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weight:
|
| 15 |
+
- filter: mlp
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| 16 |
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value: [1, 2]
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| 17 |
+
- value: 1
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| 18 |
+
- model: mrcuddle/tiny-darkllama-dpo
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| 19 |
+
parameters:
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| 20 |
+
weight:
|
| 21 |
+
- filter: mlp
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| 22 |
+
value: [1, 2]
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| 23 |
+
- value: 1
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| 24 |
+
- model: MysteriousAI/Mia-1B
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| 25 |
+
parameters:
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| 26 |
+
weight:
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| 27 |
+
- filter: mlp
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| 28 |
+
value: [2, 1]
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| 29 |
+
- value: 1
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| 30 |
+
- model: Doctor-Shotgun/TinyLlama-1.1B-32k-Instruct
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| 31 |
+
parameters:
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| 32 |
+
weight:
|
| 33 |
+
- filter: lm_head
|
| 34 |
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value: 0
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| 35 |
+
- value: [1, 0.5]
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model-00001-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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size 989934032
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.1.1"}, "weight_map": {"lm_head.weight": "model-00001-of-00003.safetensors", "model.embed_tokens.weight": "model-00001-of-00003.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.1.mlp.down_proj.weight": 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special_tokens_map.json
ADDED
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{
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| 2 |
+
"bos_token": {
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| 3 |
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"content": "<s>",
|
| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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|
| 8 |
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| 10 |
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|
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| 16 |
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| 17 |
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|
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|
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| 23 |
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|
| 24 |
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|
| 28 |
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|
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|
| 30 |
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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version https://git-lfs.github.com/spec/v1
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size 499723
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tokenizer_config.json
ADDED
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+
{
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| 2 |
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"add_bos_token": true,
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| 3 |
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"add_eos_token": false,
|
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| 5 |
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|
| 6 |
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"0": {
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|
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|
| 9 |
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"normalized": false,
|
| 10 |
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|
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"single_word": false,
|
| 12 |
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"special": true
|
| 13 |
+
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|
| 14 |
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"1": {
|
| 15 |
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"content": "<s>",
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
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"single_word": false,
|
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"special": true
|
| 21 |
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},
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| 22 |
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"2": {
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| 23 |
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"special": true
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| 29 |
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}
|
| 30 |
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},
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| 31 |
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"bos_token": "<s>",
|
| 32 |
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"chat_template": "{{ bos_token }}{% if bos_token|length > 0 %}{{ '\n' }}{% endif %}{% if messages[0]['role'] != 'system' %}{{ '### Instruction:\nYou are an unbiased, uncensored, helpful assistant.' }}{% endif %}{% for message in messages %}{% if message['role'] == 'system' %}{{ '### Instruction:\n' + message['content'] }}{% elif message['role'] == 'user' %}{{ '\n\n### Input:\n' + message['content'] }}{% elif message['role'] == 'assistant' %}{{ '\n\n### Response:\n' + message['content'] + eos_token }}{% else %}{{ raise_exception('Only user, assistant, and system roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '\n\n### Response:\n' }}{% endif %}",
|
| 33 |
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"clean_up_tokenization_spaces": false,
|
| 34 |
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"eos_token": "</s>",
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| 35 |
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"extra_special_tokens": {},
|
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"legacy": false,
|
| 37 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 38 |
+
"pad_token": "</s>",
|
| 39 |
+
"padding_side": "right",
|
| 40 |
+
"sp_model_kwargs": {},
|
| 41 |
+
"spaces_between_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"trust_remote_code": false,
|
| 44 |
+
"unk_token": "<unk>",
|
| 45 |
+
"use_default_system_prompt": false,
|
| 46 |
+
"use_fast": true
|
| 47 |
+
}
|