初始化项目，由ModelHub XC社区提供模型
Model: kenpath/svara-tts-v1 Source: Original Platform
This commit is contained in:
ModelHub XC
61
.gitattributes
vendored
Normal file
61
.gitattributes
vendored
Normal file
@@ -0,0 +1,61 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
examples/anger[[:space:]]-[[:space:]]english.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/chat[[:space:]]-[[:space:]]magahi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/clear[[:space:]]-[[:space:]]telugu.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/fear[[:space:]]-[[:space:]]maithili.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/formal[[:space:]]-[[:space:]]kannada.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/happy[[:space:]]-[[:space:]]hindi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/neutral[[:space:]]-[[:space:]]nepali.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/neutral[[:space:]]-[[:space:]]sanskrit.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/sad[[:space:]]-[[:space:]]malayalam.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/sad[[:space:]]-[[:space:]]marathi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/surpise[[:space:]]-[[:space:]]tamil.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/surprise[[:space:]]-[[:space:]]punjabi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/anger_english.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/chat_magahi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/clear_telugu.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/fear_maithili.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/formal_kannada.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/happy_hindi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/neutral_nepali.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/neutral_sanskrit.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/sad_malayalam.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/sad_marathi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/surpise_tamil.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/surprise_punjabi.wav filter=lfs diff=lfs merge=lfs -text
|
||||
examples/surprise_tamil.wav filter=lfs diff=lfs merge=lfs -text
|
||||
155
README.md
Normal file
155
README.md
Normal file
@@ -0,0 +1,155 @@
|
||||
---
|
||||
base_model: canopylabs/3b-hi-ft-research_release
|
||||
license: apache-2.0
|
||||
language:
|
||||
- hi # Hindi
|
||||
- bn # Bengali
|
||||
- mr # Marathi
|
||||
- te # Telugu
|
||||
- kn # Kannada
|
||||
- bho # Bhojpuri
|
||||
- mag # Magahi
|
||||
- hne # Chhattisgarhi
|
||||
- mai # Maithili
|
||||
- as # Assamese
|
||||
- brx # Bodo
|
||||
- doi # Dogri
|
||||
- gu # Gujarati
|
||||
- ml # Malayalam
|
||||
- pa # Punjabi
|
||||
- ta # Tamil
|
||||
- ne # Nepali
|
||||
- sa # Sanskrit
|
||||
- en # English (Indian)
|
||||
tags:
|
||||
- text-to-speech
|
||||
- speech-synthesis
|
||||
- transformers
|
||||
- multilingual
|
||||
- indic
|
||||
- orpheus
|
||||
- lora
|
||||
- low-latency
|
||||
- gguf
|
||||
- zero-shot
|
||||
- emotions
|
||||
- discrete-audio-tokens
|
||||
task_categories:
|
||||
- text-to-speech
|
||||
pipeline_tag: text-to-speech
|
||||
pretty_name: Svara-TTS v1
|
||||
datasets:
|
||||
- SYSPIN
|
||||
- RASA
|
||||
- IndicTTS
|
||||
- SPICOR
|
||||
---
|
||||
|
||||
# svara-TTS v1 — Open Multilingual TTS for India’s Voices
|
||||
|
||||
[](https://huggingface.co/kenpath/svara-tts-v1)
|
||||
[](https://huggingface.co/spaces/kenpath/svara-tts)
|
||||
[](https://colab.research.google.com/drive/15YxFo1DzdQNbFUIZ1HJA4AN4oHqKxGtg)
|
||||
[](https://github.com/Kenpath/svara-tts-inference)
|
||||
|
||||
**svara-TTS** is a developer-first multilingual TTS model for **19 languages** (18 Indic + Indian English).
|
||||
Built on an Orpheus-style discrete audio token approach, it targets **clarity, expressiveness, and low-latency** on commodity GPUs/CPUs.
|
||||
It supports light-weight **emotion/style control** (e.g., `<happy>`, `<sad>`, `<anger>`, `<fear>`) and simple **speaker identities** (`Language (Gender)`), with **zero-shot** adaptation paths.
|
||||
|
||||
---
|
||||
|
||||
## At a Glance
|
||||
|
||||
- **Languages (19):** Hindi, Bengali, Marathi, Telugu, Kannada, Bhojpuri, Magahi, Chhattisgarhi, Maithili, Assamese, Bodo, Dogri, Gujarati, Malayalam, Punjabi, Tamil, Nepali, Sanskrit, Indian English.
|
||||
- **Expressivity:** End-of-utterance style tags; natural prosody; code-switch aware.
|
||||
- **Latency & Deployment:** Works well with **GGUF** exports; suitable for edge/CPU scenarios.
|
||||
- **Adaptability:** **LoRA-friendly** for quick speaker/domain specialization.
|
||||
|
||||
Try it live on the [**Demo Space**](https://huggingface.co/spaces/kenpath/svara-tts), or on **[Colab](https://colab.research.google.com/drive/15YxFo1DzdQNbFUIZ1HJA4AN4oHqKxGtg)**
|
||||
Deployment scripts and **inference repo** will be available soon. Watch our [Github](https://github.com/Kenpath/svara-tts-inference) for updates
|
||||
|
||||
---
|
||||
|
||||
## Prompting (Orpheus-style)
|
||||
|
||||
- Place style/emotion tags **at the end** of the sentence:
|
||||
`आज... सच में अच्छी खबर है — शाम को मिलते हैं! <happy>`
|
||||
- Use punctuation to hint prosody (ellipses, commas, exclamation).
|
||||
- For technical or dense text, end with `<clear>` to prioritize intelligibility.
|
||||
|
||||
> Speaker IDs follow a simple convention: **`Language (Gender)`** (e.g., `Marathi (Male)`).
|
||||
|
||||
---
|
||||
|
||||
## Training Data Summary
|
||||
|
||||
Trained on **2000+ hours** of open, high-quality speech from **SYSPIN**, **RASA**, **IndicTTS**, and **SPICOR**, covering **~50 speakers** (balanced male/female) across **19 languages**.
|
||||
Data was curated to encourage natural prosody, broad coverage, and stable multilingual transfer. See **Acknowledgments** for provenance.
|
||||
|
||||
---
|
||||
|
||||
## Intended Uses
|
||||
|
||||
- Multilingual assistants, IVR, learning apps, reading aids, accessibility tools
|
||||
- Content localization (education, public-information, civic services)
|
||||
- Research on Indic prosody, emotion control, cross-lingual transfer
|
||||
|
||||
## Out-of-Scope / Not Intended
|
||||
|
||||
- Impersonation of private individuals or public figures without consent
|
||||
- Deceptive content (fraud, harassment, misinformation)
|
||||
- Safety-critical deployments without human oversight
|
||||
|
||||
---
|
||||
|
||||
## Limitations
|
||||
|
||||
- **Proper nouns & rare entities:** may require spelling hints or `<clear>`.
|
||||
- **Very long sentences:** chunk or add punctuation for natural prosody.
|
||||
- **Emotion strength:** varies by language due to data density.
|
||||
- **Code-mixing:** common patterns work; it’s not a deterministic rules engine.
|
||||
|
||||
Many of these improve with targeted LoRA finetuning and better preprocessing.
|
||||
|
||||
---
|
||||
|
||||
## Responsible Use
|
||||
|
||||
By using this model, you agree to follow applicable laws and ethical guidelines.
|
||||
Avoid impersonation, harassment, targeted deception, or other harmful uses.
|
||||
Where appropriate, disclose synthetic speech to end users.
|
||||
|
||||
---
|
||||
|
||||
## Sources & Links
|
||||
|
||||
- **Model:** https://huggingface.co/kenpath/svara-tts-v1
|
||||
- **Demo Space:** https://huggingface.co/spaces/kenpath/svara-tts
|
||||
- **Inference repo:** https://github.com/Kenpath/svara-tts-inference
|
||||
- **Colab:** https://colab.research.google.com/drive/15YxFo1DzdQNbFUIZ1HJA4AN4oHqKxGtg
|
||||
|
||||
---
|
||||
|
||||
## 🙏 Acknowledgments
|
||||
|
||||
This work was developed by **[Kenpath Technologies](https://kenpath.ai/)** for the open-source community. We also thank RunPod for the startup credits that supported our GPU compute.
|
||||
|
||||
- **Canopy Labs — Orpheus:** foundational ideas & open release
|
||||
Release: https://canopylabs.ai/releases/orpheus_can_speak_any_language
|
||||
- **SPIRE Lab, IISc Bangalore** — **SYSPIN** (multilingual studio) and **SPICOR** (Indian English)
|
||||
- **AI4Bharat** — **RASA** expressive speech
|
||||
- **IIT Madras** — **IndicTTS**
|
||||
- **Unsloth** — helpful notes & tooling
|
||||
- **RunPod** — startup GPU credits that accelerated experiments
|
||||
|
||||
---
|
||||
|
||||
## License
|
||||
|
||||
**Apache-2.0**
|
||||
|
||||
---
|
||||
|
||||
## Versioning & Changelog
|
||||
|
||||
- **v1.0.0:** Initial public release (19 languages)
|
||||
93
chat_template.jinja
Normal file
93
chat_template.jinja
Normal file
@@ -0,0 +1,93 @@
|
||||
{{- bos_token }}
|
||||
{%- if custom_tools is defined %}
|
||||
{%- set tools = custom_tools %}
|
||||
{%- endif %}
|
||||
{%- if not tools_in_user_message is defined %}
|
||||
{%- set tools_in_user_message = true %}
|
||||
{%- endif %}
|
||||
{%- if not date_string is defined %}
|
||||
{%- if strftime_now is defined %}
|
||||
{%- set date_string = strftime_now("%d %b %Y") %}
|
||||
{%- else %}
|
||||
{%- set date_string = "26 Jul 2024" %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if not tools is defined %}
|
||||
{%- set tools = none %}
|
||||
{%- endif %}
|
||||
|
||||
{#- This block extracts the system message, so we can slot it into the right place. #}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{%- set system_message = messages[0]['content']|trim %}
|
||||
{%- set messages = messages[1:] %}
|
||||
{%- else %}
|
||||
{%- set system_message = "" %}
|
||||
{%- endif %}
|
||||
|
||||
{#- System message #}
|
||||
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
||||
{%- if tools is not none %}
|
||||
{{- "Environment: ipython\n" }}
|
||||
{%- endif %}
|
||||
{{- "Cutting Knowledge Date: December 2023\n" }}
|
||||
{{- "Today Date: " + date_string + "\n\n" }}
|
||||
{%- if tools is not none and not tools_in_user_message %}
|
||||
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.\n\n" }}
|
||||
{%- for t in tools %}
|
||||
{{- t | tojson(indent=4) }}
|
||||
{{- "\n\n" }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- system_message }}
|
||||
{{- "<|eot_id|>" }}
|
||||
|
||||
{#- Custom tools are passed in a user message with some extra guidance #}
|
||||
{%- if tools_in_user_message and not tools is none %}
|
||||
{#- Extract the first user message so we can plug it in here #}
|
||||
{%- if messages | length != 0 %}
|
||||
{%- set first_user_message = messages[0]['content']|trim %}
|
||||
{%- set messages = messages[1:] %}
|
||||
{%- else %}
|
||||
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
||||
{%- endif %}
|
||||
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
||||
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
||||
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.\n\n" }}
|
||||
{%- for t in tools %}
|
||||
{{- t | tojson(indent=4) }}
|
||||
{{- "\n\n" }}
|
||||
{%- endfor %}
|
||||
{{- first_user_message + "<|eot_id|>"}}
|
||||
{%- endif %}
|
||||
|
||||
{%- for message in messages %}
|
||||
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
||||
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
||||
{%- elif 'tool_calls' in message %}
|
||||
{%- if not message.tool_calls|length == 1 %}
|
||||
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
||||
{%- endif %}
|
||||
{%- set tool_call = message.tool_calls[0].function %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
||||
{{- '{"name": "' + tool_call.name + '", ' }}
|
||||
{{- '"parameters": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- "}" }}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- elif message.role == "tool" or message.role == "ipython" %}
|
||||
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
||||
{%- if message.content is mapping or message.content is iterable %}
|
||||
{{- message.content | tojson }}
|
||||
{%- else %}
|
||||
{{- message.content }}
|
||||
{%- endif %}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
||||
{%- endif %}
|
||||
37
config.json
Normal file
37
config.json
Normal file
@@ -0,0 +1,37 @@
|
||||
{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"eos_token_id": 128009,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 3072,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 8192,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 24,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 128263,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 32.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.55.4",
|
||||
"unsloth_version": "2025.10.4",
|
||||
"use_cache": true,
|
||||
"vocab_size": 156940
|
||||
}
|
||||
3
examples/anger_english.wav
Normal file
3
examples/anger_english.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1406739bd12c95e3cec0d9110a02ae5d1583b7c6c67868430ec614f593bbcad1
|
||||
size 118828
|
||||
3
examples/chat_magahi.wav
Normal file
3
examples/chat_magahi.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b1461d953a004f935ed7c62f9733c8642dfa227e7dd808364a83eda061756d95
|
||||
size 163884
|
||||
3
examples/clear_telugu.wav
Normal file
3
examples/clear_telugu.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6f684246f7b30d21984b9823765d33d7d6524f0e88608b40398e898a3e54410d
|
||||
size 213036
|
||||
3
examples/fear_maithili.wav
Normal file
3
examples/fear_maithili.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f1b5be7821b24cab6986d10ff3dd099dc90e6220834c0d4c8732a698bdd8eff2
|
||||
size 204844
|
||||
3
examples/formal_kannada.wav
Normal file
3
examples/formal_kannada.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1212437c71f4c4c4ec8fd348de7110d2a715d0dcc3bc1b9114e6435337c08512
|
||||
size 253996
|
||||
3
examples/happy_hindi.wav
Normal file
3
examples/happy_hindi.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:62ec49a637cfd512042968f1fb19342e2106f48c39d05e7114bd03ca00aa534a
|
||||
size 131116
|
||||
3
examples/neutral_nepali.wav
Normal file
3
examples/neutral_nepali.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6a4f2f7e80ba0be46ee76d607acd3be90f538a01068630e8dc6215f8c68439a5
|
||||
size 163884
|
||||
3
examples/neutral_sanskrit.wav
Normal file
3
examples/neutral_sanskrit.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:764135d7c77eba58dfc848d5ba2f431d58df45e6bf52059ba69ea21121570e5a
|
||||
size 249900
|
||||
3
examples/sad_malayalam.wav
Normal file
3
examples/sad_malayalam.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:302de9f6b98621fdb1683209906722f64e35000431aea1a2a8b63829012c1bc3
|
||||
size 200748
|
||||
3
examples/sad_marathi.wav
Normal file
3
examples/sad_marathi.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:667bf2706d496162a7ae20d2f86433a19d69c2211cbb62ef671ae81c52bcf372
|
||||
size 270380
|
||||
3
examples/surprise_punjabi.wav
Normal file
3
examples/surprise_punjabi.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:627d1b187d18e03ac50202614fc902b59de0be67722943d3d054ac1495e25ccf
|
||||
size 225324
|
||||
3
examples/surprise_tamil.wav
Normal file
3
examples/surprise_tamil.wav
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4b89c7181e7a0804f2e7948ea2f1efd72989486025071f8029e86efb4fc6021e
|
||||
size 143404
|
||||
3
model-00001-of-00003.safetensors
Normal file
3
model-00001-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5697a861fecd1e57329e1ca8d79b25d4f0f2affa408c8ad6ada682661d43c132
|
||||
size 4948557560
|
||||
3
model-00002-of-00003.safetensors
Normal file
3
model-00002-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a736acff0d88bba9ab45fe6edbd2f41ff88a38fbe1f5ebe3ca4c0d74ec7d886e
|
||||
size 4932808960
|
||||
3
model-00003-of-00003.safetensors
Normal file
3
model-00003-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0602d21d09d8998b9f6e31bcab966ba302e96e79b40439bf1dafe6e5d4826b97
|
||||
size 3322130968
|
||||
261
model.safetensors.index.json
Normal file
261
model.safetensors.index.json
Normal file
@@ -0,0 +1,261 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 13203468288
|
||||
},
|
||||
"weight_map": {
|
||||
"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": "model-00001-of-00003.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
||||
"model.norm.weight": "model-00003-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
20
special_tokens_map.json
Normal file
20
special_tokens_map.json
Normal file
@@ -0,0 +1,20 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|audio|>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<custom_token_7>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:044e2a10201774018db120391980464472baabf223bd353cea49b17da0b66abc
|
||||
size 22849546
|
||||
231540
tokenizer_config.json
Normal file
231540
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user