Text-to-Speech
Transformers
Safetensors
qwen3_5_text
text-generation
tts
speech-synthesis
voice-cloning
autoregressive
vllm
Instructions to use nineninesix/gepard-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nineninesix/gepard-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="nineninesix/gepard-1.0")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nineninesix/gepard-1.0") model = AutoModelForCausalLM.from_pretrained("nineninesix/gepard-1.0") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- config.json +63 -0
- model.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +31 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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config.json
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{
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"architectures": [
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"Qwen3_5ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_output_gate": true,
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"bos_token_id": null,
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"dtype": "bfloat16",
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"eos_token_id": 248044,
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"full_attention_interval": 4,
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"head_dim": 256,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3584,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"linear_conv_kernel_dim": 4,
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"linear_key_head_dim": 128,
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"linear_num_key_heads": 16,
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"linear_num_value_heads": 16,
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"linear_value_head_dim": 128,
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"mamba_ssm_dtype": "float32",
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"max_position_embeddings": 262144,
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"mlp_only_layers": [],
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"model_type": "qwen3_5_text",
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"num_attention_heads": 8,
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"num_hidden_layers": 14,
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"num_key_value_heads": 2,
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"pad_token_id": null,
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"partial_rotary_factor": 1.0,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"mrope_interleaved": true,
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"mrope_section": [
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11,
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11,
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10
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],
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"partial_rotary_factor": 1.0,
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"rope_theta": 10000000,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.3.0",
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"use_cache": true,
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"vocab_size": 248320
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4da074d410e693b43e9e248b9aa688521f88def0e11b41a644550d92c661fa72
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size 1111419662
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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size 19989343
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"image_token": "<|image_pad|>",
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"is_local": false,
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"model_max_length": 262144,
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"model_specific_special_tokens": {
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"image_token": "<|image_pad|>",
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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},
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"pad_token": "<|endoftext|>",
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"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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"split_special_tokens": false,
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"tokenizer_class": "TokenizersBackend",
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"unk_token": null,
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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}
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