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@@ -1,12 +1,11 @@
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  ---
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- library_name: transformers
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  tags:
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  - llama-cpp
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  - gguf-my-repo
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- base_model: Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k
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  ---
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- # AIronMind/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF
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  This model was converted to GGUF format from [`Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k`](https://huggingface.co/Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k) for more details on the model.
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@@ -21,12 +20,12 @@ Invoke the llama.cpp server or the CLI.
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  ### CLI:
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  ```bash
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- llama-cli --hf-repo AIronMind/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -p "The meaning to life and the universe is"
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  ```
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  ### Server:
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  ```bash
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- llama-server --hf-repo AIronMind/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -c 2048
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  ```
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  Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
@@ -43,9 +42,9 @@ cd llama.cpp && LLAMA_CURL=1 make
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  Step 3: Run inference through the main binary.
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  ```
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- ./llama-cli --hf-repo AIronMind/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -p "The meaning to life and the universe is"
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  ```
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  or
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  ```
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- ./llama-server --hf-repo AIronMind/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -c 2048
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  ```
 
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  ---
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+ base_model: Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k
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  tags:
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  - llama-cpp
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  - gguf-my-repo
 
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  ---
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+ # itlwas/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF
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  This model was converted to GGUF format from [`Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k`](https://huggingface.co/Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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  Refer to the [original model card](https://huggingface.co/Vikhrmodels/salt-asr_wav-uni_1_tts_wav-uni_1-12k) for more details on the model.
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  ### CLI:
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  ```bash
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+ llama-cli --hf-repo itlwas/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -p "The meaning to life and the universe is"
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  ```
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  ### Server:
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  ```bash
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+ llama-server --hf-repo itlwas/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -c 2048
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  ```
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  Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
 
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  Step 3: Run inference through the main binary.
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  ```
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+ ./llama-cli --hf-repo itlwas/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -p "The meaning to life and the universe is"
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  ```
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  or
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  ```
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+ ./llama-server --hf-repo itlwas/salt-asr_wav-uni_1_tts_wav-uni_1-12k-Q4_K_M-GGUF --hf-file salt-asr_wav-uni_1_tts_wav-uni_1-12k-q4_k_m.gguf -c 2048
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  ```