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Model: isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16
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2026-05-22 00:16:17 +08:00
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---
language:
- en
license: llama3.1
pipeline_tag: text-generation
tags:
- roleplay
- llama3
- sillytavern
- idol
- facebook
- meta
- pytorch
- llama
- llama-3
- mlx
- mlx-my-repo
base_model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
Job title:
type: select
options:
- Student
- Research Graduate
- AI researcher
- AI developer/engineer
- Reporter
- Other
---
# isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16
The Model [isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16](https://huggingface.co/isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16) was converted to MLX format from [aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored](https://huggingface.co/aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored) using mlx-lm version **0.29.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```

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{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>
' }}

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{
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"dtype": "bfloat16",
"eos_token_id": [
128001,
128008,
128009
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"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 131072,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": {
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"low_freq_factor": 1.0,
"original_max_position_embeddings": 8192,
"rope_type": "llama3"
},
"rope_theta": 500000.0,
"tie_word_embeddings": false,
"transformers_version": "4.57.1",
"use_cache": true,
"vocab_size": 128256
}

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"do_sample": true,
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"temperature": 0.6,
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