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README.md
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---
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||||
license: apache-2.0
|
||||
tags:
|
||||
- prismml
|
||||
- bonsai
|
||||
- awq
|
||||
- 4-bit
|
||||
pipeline_tag: text-generation
|
||||
base_model: prism-ml/Bonsai-8B-unpacked
|
||||
library_name: transformers
|
||||
---
|
||||
|
||||
# Bonsai-8B — AWQ 4-bit
|
||||
|
||||
## Summary
|
||||
|
||||
This repo provides an AWQ 4-bit checkpoint so you can run Bonsai-8B on [sglang](https://github.com/sgl-project/sglang) (or vLLM) until native 1-bit support lands in those engines. The repack from 1-bit to AWQ 4-bit is **lossless**. Both formats use group size 128, and Bonsai's binary weights (±d) fit exactly inside AWQ INT4 by an exact conversion formula.
|
||||
|
||||
> **For the best Bonsai experience on edge or consumer-grade hardware, use the native 1-bit releases.** The 1-bit format is where Bonsai's memory and energy wins come from.
|
||||
>
|
||||
> - **[Bonsai-8B MLX 1-bit](https://huggingface.co/prism-ml/Bonsai-8B-mlx-1bit)** — 1-bit MLX for Apple Silicon.
|
||||
> - **[Bonsai-8B-gguf](https://huggingface.co/prism-ml/Bonsai-8B-gguf)** - 1-bit gguf supported by llama.cpp across many backends (GPU, Metal, CPU, Vulkan, etc)
|
||||
> - **[Bonsai-8B FP16](https://huggingface.co/prism-ml/Bonsai-8B-unpacked)** — FP16 safetensors for stock HuggingFace tooling.
|
||||
|
||||
## How It Works
|
||||
|
||||
Bonsai weights are ±d (binary) with a shared scale across a group size of 128. INT4 can represent these values exactly. Embedding and `lm_head` stay FP16 due to sglang limitations.
|
||||
|
||||
AWQ INT4 dequantization: `weight = scale × (int4 − zero)`.
|
||||
|
||||
```
|
||||
+d → scale=d, int4=9, zero=8 → d × (9-8) = +d
|
||||
-d → scale=d, int4=7, zero=8 → d × (7-8) = -d
|
||||
```
|
||||
|
||||
## Serve
|
||||
|
||||
```bash
|
||||
pip install sglang
|
||||
|
||||
python -m sglang.launch_server \
|
||||
--model /path/to/Bonsai-8B-awq/ \
|
||||
--port 8000 \
|
||||
--dtype bfloat16
|
||||
```
|
||||
|
||||
## Use
|
||||
|
||||
```bash
|
||||
# Completion API
|
||||
curl http://localhost:8000/v1/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"model":"Bonsai-8B","prompt":"The capital of France is","max_tokens":20}'
|
||||
|
||||
# Chat API
|
||||
curl http://localhost:8000/v1/chat/completions \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"model":"Bonsai-8B","messages":[{"role":"user","content":"Who are you?"}],"max_tokens":100}'
|
||||
```
|
||||
|
||||
## Multi-GPU (8× H100)
|
||||
|
||||
```bash
|
||||
# Option A: DP=8 — 8 independent replicas, no inter-GPU comms
|
||||
python -m sglang.launch_server \
|
||||
--model /path/to/Bonsai-8B-awq/ \
|
||||
--dp-size 8 \
|
||||
--load-balance-method total_tokens \
|
||||
--port 8000 --dtype bfloat16
|
||||
|
||||
# Option B: TP=2 DP=4 — 4 replicas, each split across 2 GPUs
|
||||
python -m sglang.launch_server \
|
||||
--model /path/to/Bonsai-8B-awq/ \
|
||||
--tp-size 2 --dp-size 4 \
|
||||
--load-balance-method total_tokens \
|
||||
--port 8000 --dtype bfloat16
|
||||
|
||||
# Option C: TP=4 DP=2 — 2 replicas across 4 GPUs each
|
||||
python -m sglang.launch_server \
|
||||
--model /path/to/Bonsai-8B-awq/ \
|
||||
--tp-size 4 --dp-size 2 \
|
||||
--load-balance-method total_tokens \
|
||||
--port 8000 --dtype bfloat16
|
||||
```
|
||||
|
||||
## Appendix
|
||||
|
||||
### Launch time
|
||||
|
||||
With pre-built sgl-kernel wheels: 15 s. First launch on an arch without pre-built wheels (e.g. L40S / sm_89) takes 3–5 min while sglang JIT-compiles Marlin GEMM + FlashInfer kernels; artifacts cache to `~/.cache/tvm-ffi/` and `~/.cache/flashinfer/`, so subsequent launches drop back to 15 s.
|
||||
|
||||
### Known-good environment
|
||||
|
||||
Example of successful end-to-end serving environment:
|
||||
|
||||
- `sglang[all] == 0.5.9`
|
||||
- `torch == 2.9.1`, `transformers == 4.57.1`, `triton == 3.5.1`
|
||||
- `ninja == 1.13` on `PATH`
|
||||
- `nvcc` from **CUDA 12.8** first on `PATH` (sglang's JIT Marlin needs `-std=c++20`; CUDA 11.x will fail)
|
||||
- Python 3.12
|
||||
|
||||
28
added_tokens.json
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28
added_tokens.json
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|
||||
{
|
||||
"</think>": 151668,
|
||||
"</tool_call>": 151658,
|
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"</tool_response>": 151666,
|
||||
"<think>": 151667,
|
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"<tool_call>": 151657,
|
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"<tool_response>": 151665,
|
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"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
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"<|fim_middle|>": 151660,
|
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"<|fim_pad|>": 151662,
|
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"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
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"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
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"<|video_pad|>": 151656,
|
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"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
86
chat_template.jinja
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86
chat_template.jinja
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@@ -0,0 +1,86 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- messages[0].content + '\n\n' }}
|
||||
{%- endif %}
|
||||
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||
{%- for message in messages[::-1] %}
|
||||
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
||||
{%- set ns.multi_step_tool = false %}
|
||||
{%- set ns.last_query_index = index %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- for message in messages %}
|
||||
{%- if message.content is string %}
|
||||
{%- set content = message.content %}
|
||||
{%- else %}
|
||||
{%- set content = '' %}
|
||||
{%- endif %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{%- set reasoning_content = '' %}
|
||||
{%- if message.reasoning_content is string %}
|
||||
{%- set reasoning_content = message.reasoning_content %}
|
||||
{%- else %}
|
||||
{%- if '</think>' in content %}
|
||||
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
||||
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if loop.index0 > ns.last_query_index %}
|
||||
{%- if loop.last or (not loop.last and reasoning_content) %}
|
||||
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- if message.tool_calls %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{%- if tool_call.arguments is string %}
|
||||
{{- tool_call.arguments }}
|
||||
{%- else %}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{%- endif %}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n<think>\n\n</think>\n\n' }}
|
||||
{%- endif %}
|
||||
138
config.json
Normal file
138
config.json
Normal file
@@ -0,0 +1,138 @@
|
||||
{
|
||||
"vocab_size": 151669,
|
||||
"max_position_embeddings": 65536,
|
||||
"hidden_size": 4096,
|
||||
"intermediate_size": 12288,
|
||||
"num_hidden_layers": 36,
|
||||
"num_attention_heads": 32,
|
||||
"use_sliding_window": false,
|
||||
"sliding_window": null,
|
||||
"max_window_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"initializer_range": 0.02,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"use_cache": true,
|
||||
"rope_theta": 1000000.0,
|
||||
"rope_scaling": {
|
||||
"rope_type": "yarn",
|
||||
"factor": 4.0,
|
||||
"original_max_position_embeddings": 16384
|
||||
},
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"return_dict": true,
|
||||
"output_hidden_states": false,
|
||||
"torchscript": false,
|
||||
"dtype": null,
|
||||
"pruned_heads": {},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"add_cross_attention": false,
|
||||
"tie_encoder_decoder": false,
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
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|
||||
"id2label": {
|
||||
"0": "LABEL_0",
|
||||
"1": "LABEL_1"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"max_length": 20,
|
||||
"min_length": 0,
|
||||
"do_sample": false,
|
||||
"early_stopping": false,
|
||||
"num_beams": 1,
|
||||
"temperature": 1.0,
|
||||
"top_k": 50,
|
||||
"top_p": 1.0,
|
||||
"typical_p": 1.0,
|
||||
"repetition_penalty": 1.0,
|
||||
"length_penalty": 1.0,
|
||||
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|
||||
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|
||||
"bad_words_ids": null,
|
||||
"num_return_sequences": 1,
|
||||
"output_scores": false,
|
||||
"return_dict_in_generate": false,
|
||||
"forced_bos_token_id": null,
|
||||
"forced_eos_token_id": null,
|
||||
"remove_invalid_values": false,
|
||||
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|
||||
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|
||||
"begin_suppress_tokens": [
|
||||
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|
||||
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|
||||
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|
||||
"num_beam_groups": 1,
|
||||
"diversity_penalty": 0.0,
|
||||
"_name_or_path": "",
|
||||
"transformers_version": "4.57.6",
|
||||
"no_bias": true,
|
||||
"tf_legacy_loss": false,
|
||||
"use_bfloat16": false,
|
||||
"model_type": "qwen3",
|
||||
"output_attentions": false,
|
||||
"quantization_config": {
|
||||
"quant_method": "awq",
|
||||
"bits": 4,
|
||||
"group_size": 128,
|
||||
"zero_point": true,
|
||||
"version": "gemm"
|
||||
}
|
||||
}
|
||||
16
generation_config.json
Normal file
16
generation_config.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"eos_token_id": 151645,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"temperature": 0.5,
|
||||
"top_p": 0.85,
|
||||
"top_k": 20,
|
||||
"min_p": 0.0,
|
||||
"presence_penalty": 0.0,
|
||||
"repetition_penalty": 1.0,
|
||||
"do_sample": true
|
||||
}
|
||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
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Normal file
3
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Normal file
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Normal file
3
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Normal file
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Normal file
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Normal file
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910
model.safetensors.index.json
Normal file
910
model.safetensors.index.json
Normal file
@@ -0,0 +1,910 @@
|
||||
{
|
||||
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|
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31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
||||
size 11422654
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239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user