Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +230 -0
- chat_template.jinja +86 -0
- config.json +54 -0
- generation_config.json +11 -0
- model-00000-of-00004.safetensors +3 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model.safetensors.index.json +966 -0
- tokenizer.json +3 -0
- tokenizer_config.json +321 -0
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| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
- zh
|
| 6 |
+
base_model: zai-org/GLM-4.7-Flash
|
| 7 |
+
tags:
|
| 8 |
+
- moe
|
| 9 |
+
- mxfp4
|
| 10 |
+
- quantized
|
| 11 |
+
- vllm
|
| 12 |
+
- glm
|
| 13 |
+
- 30b
|
| 14 |
+
library_name: transformers
|
| 15 |
+
pipeline_tag: text-generation
|
| 16 |
+
---
|
| 17 |
+
# Note: If you have a multi-GPU SM120 Blackwell system (RTX 50/Pro), try my vLLM fork to resolve P2P / TP=2 issues (Pending PR into upstream).
|
| 18 |
+
https://github.com/Gadflyii/vllm/tree/main
|
| 19 |
+
|
| 20 |
+
# GLM-4.7-Flash MXFP4
|
| 21 |
+
|
| 22 |
+
This is a **MXFP4 quantization** of [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash), a 30B-A3B (30B total, 3B active) Mixture-of-Experts model.
|
| 23 |
+
|
| 24 |
+
## Quantization Strategy
|
| 25 |
+
|
| 26 |
+
This model uses **MXFP4 (Microscaling FP4)** format with the Marlin backend for inference. Custom quantization with calibration (128 samples, 2048 max seq len) applied to MoE experts.
|
| 27 |
+
|
| 28 |
+
| Component | Precision | Rationale |
|
| 29 |
+
|-----------|-----------|-----------|
|
| 30 |
+
| MLP Experts (gate_up, down) | MXFP4 (E2M1) | 64 routed experts, 4 active per token |
|
| 31 |
+
| **Attention (MLA)** | **BF16** | Low-rank compressed Q/KV projections are sensitive |
|
| 32 |
+
| Dense MLP | BF16 | First layer dense MLP |
|
| 33 |
+
| Norms, Gates, Embeddings | BF16 | Standard practice |
|
| 34 |
+
|
| 35 |
+
### MXFP4 vs NVFP4
|
| 36 |
+
|
| 37 |
+
| Property | MXFP4 | NVFP4 |
|
| 38 |
+
|----------|-------|-------|
|
| 39 |
+
| Weight Format | E2M1 (4-bit) | E2M1 (4-bit) |
|
| 40 |
+
| Scale Format | E8M0 (power-of-2) | FP8 (E4M3) |
|
| 41 |
+
| Block Size | 32 | 16 |
|
| 42 |
+
| Backend | Marlin | FlashInfer/Cutlass |
|
| 43 |
+
|
| 44 |
+
## Performance
|
| 45 |
+
|
| 46 |
+
| Metric | BF16 | **This Model** |
|
| 47 |
+
|--------|------|----------------|
|
| 48 |
+
| MMLU-Pro | 24.83% | **25.86%** |
|
| 49 |
+
| Size | 62.4 GB | **20.8 GB** |
|
| 50 |
+
| Compression | 1x | **3.0x** |
|
| 51 |
+
| Accuracy Δ | - | **+1.03%** |
|
| 52 |
+
| Throughput | ~92 tok/s | **~140 tok/s** |
|
| 53 |
+
| Max Context (single 96GB GPU) | ~26K | **~69K** |
|
| 54 |
+
|
| 55 |
+
## Usage
|
| 56 |
+
|
| 57 |
+
### Requirements
|
| 58 |
+
|
| 59 |
+
- **vLLM**: 0.14.0+ (for MXFP4 Marlin backend support)
|
| 60 |
+
- **transformers**: 5.0.0+ (for `glm4_moe_lite` architecture)
|
| 61 |
+
- **GPU**: NVIDIA GPU with compute capability 8.0+ (Ampere/Hopper/Blackwell)
|
| 62 |
+
|
| 63 |
+
### Installation
|
| 64 |
+
|
| 65 |
+
```bash
|
| 66 |
+
pip install vllm>=0.14.0
|
| 67 |
+
pip install git+https://github.com/huggingface/transformers.git
|
| 68 |
+
```
|
| 69 |
+
|
| 70 |
+
### Inference with vLLM
|
| 71 |
+
|
| 72 |
+
```python
|
| 73 |
+
import os
|
| 74 |
+
os.environ["VLLM_MXFP4_USE_MARLIN"] = "1"
|
| 75 |
+
|
| 76 |
+
from vllm import LLM, SamplingParams
|
| 77 |
+
|
| 78 |
+
model = LLM(
|
| 79 |
+
"GadflyII/GLM-4.7-Flash-MXFP4",
|
| 80 |
+
tensor_parallel_size=1,
|
| 81 |
+
max_model_len=65536, # Can go up to 202K with sufficient VRAM
|
| 82 |
+
trust_remote_code=True,
|
| 83 |
+
gpu_memory_utilization=0.90,
|
| 84 |
+
)
|
| 85 |
+
|
| 86 |
+
# Note: Do NOT use repetition_penalty > 1.05, it causes degradation at long outputs
|
| 87 |
+
params = SamplingParams(temperature=0.7, top_p=0.9, max_tokens=2048)
|
| 88 |
+
outputs = model.generate(["Explain quantum computing in simple terms."], params)
|
| 89 |
+
print(outputs[0].outputs[0].text)
|
| 90 |
+
```
|
| 91 |
+
|
| 92 |
+
### Serving with vLLM
|
| 93 |
+
|
| 94 |
+
```bash
|
| 95 |
+
VLLM_MXFP4_USE_MARLIN=1 vllm serve GadflyII/GLM-4.7-Flash-MXFP4 \
|
| 96 |
+
--tensor-parallel-size 1 \
|
| 97 |
+
--max-model-len 65536 \
|
| 98 |
+
--trust-remote-code \
|
| 99 |
+
--gpu-memory-utilization 0.90
|
| 100 |
+
```
|
| 101 |
+
|
| 102 |
+
### Chat Completions API
|
| 103 |
+
|
| 104 |
+
```python
|
| 105 |
+
import requests
|
| 106 |
+
|
| 107 |
+
payload = {
|
| 108 |
+
"model": "GadflyII/GLM-4.7-Flash-MXFP4",
|
| 109 |
+
"messages": [{"role": "user", "content": "Hello!"}],
|
| 110 |
+
"max_tokens": 1024,
|
| 111 |
+
"temperature": 0.7,
|
| 112 |
+
# Disable thinking mode for direct responses:
|
| 113 |
+
"chat_template_kwargs": {"enable_thinking": False}
|
| 114 |
+
# Or enable thinking for reasoning tasks:
|
| 115 |
+
# "chat_template_kwargs": {"enable_thinking": True}
|
| 116 |
+
}
|
| 117 |
+
response = requests.post("http://localhost:8000/v1/chat/completions", json=payload)
|
| 118 |
+
print(response.json()["choices"][0]["message"]["content"])
|
| 119 |
+
```
|
| 120 |
+
|
| 121 |
+
## Important Usage Notes
|
| 122 |
+
|
| 123 |
+
### Sampling Parameters
|
| 124 |
+
|
| 125 |
+
| Parameter | Recommended | Avoid | Reason |
|
| 126 |
+
|-----------|-------------|-------|--------|
|
| 127 |
+
| `temperature` | 0.3-0.7 | - | Standard range |
|
| 128 |
+
| `top_p` | 0.9-0.95 | - | Standard range |
|
| 129 |
+
| `repetition_penalty` | None or ≤1.05 | >1.05 | High values cause word-salad at long outputs |
|
| 130 |
+
| `max_tokens` | Up to 10,000+ | - | Model handles long generation well |
|
| 131 |
+
|
| 132 |
+
### Thinking Mode
|
| 133 |
+
|
| 134 |
+
This model supports a "thinking" mode where it shows its reasoning process:
|
| 135 |
+
|
| 136 |
+
- **`enable_thinking: True`** - Model outputs its reasoning process before the answer (good for math, coding, complex reasoning)
|
| 137 |
+
- **`enable_thinking: False`** - Model outputs the answer directly (good for chat, simple Q&A)
|
| 138 |
+
|
| 139 |
+
The model thinks in English when given English prompts.
|
| 140 |
+
|
| 141 |
+
### Long Context
|
| 142 |
+
|
| 143 |
+
With 3x compression, this model leaves significantly more VRAM for KV cache compared to BF16:
|
| 144 |
+
|
| 145 |
+
| GPU VRAM | BF16 Max Context | MXFP4 Max Context |
|
| 146 |
+
|----------|------------------|-------------------|
|
| 147 |
+
| 24 GB | ~2K | ~8K |
|
| 148 |
+
| 48 GB | ~12K | ~32K |
|
| 149 |
+
| 80 GB | ~24K | ~60K |
|
| 150 |
+
| 96 GB | ~26K | ~69K |
|
| 151 |
+
|
| 152 |
+
## Model Details
|
| 153 |
+
|
| 154 |
+
- **Base Model**: [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash)
|
| 155 |
+
- **Architecture**: `Glm4MoeLiteForCausalLM`
|
| 156 |
+
- **Parameters**: 30B total, 3B active per token (30B-A3B)
|
| 157 |
+
- **MoE Configuration**: 64 routed experts, 4 active, 1 shared expert
|
| 158 |
+
- **Layers**: 47
|
| 159 |
+
- **Context Length**: 202,752 tokens (max)
|
| 160 |
+
- **Languages**: English, Chinese
|
| 161 |
+
|
| 162 |
+
## Quantization Details
|
| 163 |
+
|
| 164 |
+
- **Format**: MXFP4 (Microscaling FP4)
|
| 165 |
+
- **Weight Format**: E2M1 (4-bit floating point, range ±6.0)
|
| 166 |
+
- **Scale Format**: E8M0 (8-bit power-of-2 scales)
|
| 167 |
+
- **Block Size**: 32
|
| 168 |
+
- **Calibration**: 128 samples from neuralmagic/calibration dataset
|
| 169 |
+
|
| 170 |
+
## Evaluation
|
| 171 |
+
|
| 172 |
+
### MMLU-Pro Overall Results
|
| 173 |
+
|
| 174 |
+
| Model | Accuracy | Correct | Total |
|
| 175 |
+
|-------|----------|---------|-------|
|
| 176 |
+
| **BF16 (baseline)** | 24.83% | 2988 | 12032 |
|
| 177 |
+
| **MXFP4 (this model)** | 25.86% | 3112 | 12032 |
|
| 178 |
+
| **Difference** | +1.03% | +124 | - |
|
| 179 |
+
|
| 180 |
+
### MMLU-Pro by Category
|
| 181 |
+
|
| 182 |
+
| Category | BF16 | MXFP4 | Difference |
|
| 183 |
+
|----------|------|-------|------------|
|
| 184 |
+
| Social Sciences | 32.70% | 34.68% | +1.98% |
|
| 185 |
+
| Other | 31.57% | 32.84% | +1.27% |
|
| 186 |
+
| Humanities | 23.78% | 23.78% | 0.00% |
|
| 187 |
+
| STEM | 19.94% | 20.86% | +0.92% |
|
| 188 |
+
|
| 189 |
+
### MMLU-Pro by Subject
|
| 190 |
+
|
| 191 |
+
| Subject | BF16 | MXFP4 | Difference |
|
| 192 |
+
|---------|------|-------|------------|
|
| 193 |
+
| Biology | 50.35% | 52.16% | +1.81% |
|
| 194 |
+
| Psychology | 44.99% | 47.74% | +2.75% |
|
| 195 |
+
| Economics | 36.37% | 38.27% | +1.90% |
|
| 196 |
+
| Health | 35.21% | 36.31% | +1.10% |
|
| 197 |
+
| History | 33.60% | 32.28% | -1.32% |
|
| 198 |
+
| Philosophy | 31.46% | 31.86% | +0.40% |
|
| 199 |
+
| Other | 28.35% | 29.76% | +1.41% |
|
| 200 |
+
| Computer Science | 26.10% | 25.85% | -0.25% |
|
| 201 |
+
| Business | 16.35% | 17.62% | +1.27% |
|
| 202 |
+
| Law | 16.89% | 17.17% | +0.28% |
|
| 203 |
+
| Physics | 15.32% | 16.17% | +0.85% |
|
| 204 |
+
| Engineering | 16.00% | 15.58% | -0.42% |
|
| 205 |
+
| Math | 14.06% | 15.54% | +1.48% |
|
| 206 |
+
| Chemistry | 14.13% | 15.46% | +1.33% |
|
| 207 |
+
|
| 208 |
+
### Long Generation Quality
|
| 209 |
+
|
| 210 |
+
Tested generating 10,000 tokens with thinking enabled:
|
| 211 |
+
- **Result**: Clean, coherent output with natural stop
|
| 212 |
+
- **Throughput**: 72 tok/s
|
| 213 |
+
- **Quality**: No degradation or repetition
|
| 214 |
+
|
| 215 |
+
## Citation
|
| 216 |
+
|
| 217 |
+
If you use this model, please cite the original GLM-4.7-Flash:
|
| 218 |
+
|
| 219 |
+
```bibtex
|
| 220 |
+
@misc{glm4flash2025,
|
| 221 |
+
title={GLM-4.7-Flash},
|
| 222 |
+
author={Zhipu AI},
|
| 223 |
+
year={2025},
|
| 224 |
+
howpublished={\url{https://huggingface.co/zai-org/GLM-4.7-Flash}}
|
| 225 |
+
}
|
| 226 |
+
```
|
| 227 |
+
|
| 228 |
+
## License
|
| 229 |
+
|
| 230 |
+
This model inherits the Apache 2.0 license from the base model.
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chat_template.jinja
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[gMASK]<sop>
|
| 2 |
+
{%- if tools -%}
|
| 3 |
+
<|system|>
|
| 4 |
+
# Tools
|
| 5 |
+
|
| 6 |
+
You may call one or more functions to assist with the user query.
|
| 7 |
+
|
| 8 |
+
You are provided with function signatures within <tools></tools> XML tags:
|
| 9 |
+
<tools>
|
| 10 |
+
{% for tool in tools %}
|
| 11 |
+
{{ tool | tojson(ensure_ascii=False) }}
|
| 12 |
+
{% endfor %}
|
| 13 |
+
</tools>
|
| 14 |
+
|
| 15 |
+
For each function call, output the function name and arguments within the following XML format:
|
| 16 |
+
<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}
|
| 17 |
+
{%- macro visible_text(content) -%}
|
| 18 |
+
{%- if content is string -%}
|
| 19 |
+
{{- content }}
|
| 20 |
+
{%- elif content is iterable and content is not mapping -%}
|
| 21 |
+
{%- for item in content -%}
|
| 22 |
+
{%- if item is mapping and item.type == 'text' -%}
|
| 23 |
+
{{- item.text }}
|
| 24 |
+
{%- elif item is string -%}
|
| 25 |
+
{{- item }}
|
| 26 |
+
{%- endif -%}
|
| 27 |
+
{%- endfor -%}
|
| 28 |
+
{%- else -%}
|
| 29 |
+
{{- content }}
|
| 30 |
+
{%- endif -%}
|
| 31 |
+
{%- endmacro -%}
|
| 32 |
+
{%- set ns = namespace(last_user_index=-1) %}
|
| 33 |
+
{%- for m in messages %}
|
| 34 |
+
{%- if m.role == 'user' %}
|
| 35 |
+
{% set ns.last_user_index = loop.index0 -%}
|
| 36 |
+
{%- endif %}
|
| 37 |
+
{%- endfor %}
|
| 38 |
+
{% for m in messages %}
|
| 39 |
+
{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}
|
| 40 |
+
{%- elif m.role == 'assistant' -%}
|
| 41 |
+
<|assistant|>
|
| 42 |
+
{%- set reasoning_content = '' %}
|
| 43 |
+
{%- set content = visible_text(m.content) %}
|
| 44 |
+
{%- if m.reasoning_content is string %}
|
| 45 |
+
{%- set reasoning_content = m.reasoning_content %}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{%- if '</think>' in content %}
|
| 48 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 49 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content -%}
|
| 53 |
+
{{ '<think>' + reasoning_content.strip() + '</think>'}}
|
| 54 |
+
{%- else -%}
|
| 55 |
+
{{ '</think>' }}
|
| 56 |
+
{%- endif -%}
|
| 57 |
+
{%- if content.strip() -%}
|
| 58 |
+
{{ content.strip() }}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{% if m.tool_calls %}
|
| 61 |
+
{% for tc in m.tool_calls %}
|
| 62 |
+
{%- if tc.function %}
|
| 63 |
+
{%- set tc = tc.function %}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
{{- '<tool_call>' + tc.name -}}
|
| 66 |
+
{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
|
| 67 |
+
{% endif %}
|
| 68 |
+
{%- elif m.role == 'tool' -%}
|
| 69 |
+
{%- if m.content is string -%}
|
| 70 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 71 |
+
{{- '<|observation|>' }}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{{- '<tool_response>' }}
|
| 74 |
+
{{- m.content }}
|
| 75 |
+
{{- '</tool_response>' }}
|
| 76 |
+
{%- else -%}
|
| 77 |
+
<|observation|>{% for tr in m.content %}
|
| 78 |
+
<tool_response>{{ tr.output if tr.output is defined else tr }}</tool_response>{% endfor -%}
|
| 79 |
+
{% endif -%}
|
| 80 |
+
{%- elif m.role == 'system' -%}
|
| 81 |
+
<|system|>{{ visible_text(m.content) }}
|
| 82 |
+
{%- endif -%}
|
| 83 |
+
{%- endfor -%}
|
| 84 |
+
{%- if add_generation_prompt -%}
|
| 85 |
+
<|assistant|>{{- '</think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
|
| 86 |
+
{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Glm4MoeLiteForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"pad_token_id": 154820,
|
| 8 |
+
"eos_token_id": [
|
| 9 |
+
154820,
|
| 10 |
+
154827,
|
| 11 |
+
154829
|
| 12 |
+
],
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2048,
|
| 15 |
+
"intermediate_size": 10240,
|
| 16 |
+
"max_position_embeddings": 202752,
|
| 17 |
+
"model_type": "glm4_moe_lite",
|
| 18 |
+
"moe_intermediate_size": 1536,
|
| 19 |
+
"topk_method": "noaux_tc",
|
| 20 |
+
"norm_topk_prob": true,
|
| 21 |
+
"num_attention_heads": 20,
|
| 22 |
+
"n_group": 1,
|
| 23 |
+
"topk_group": 1,
|
| 24 |
+
"n_routed_experts": 64,
|
| 25 |
+
"n_shared_experts": 1,
|
| 26 |
+
"routed_scaling_factor": 1.8,
|
| 27 |
+
"num_experts_per_tok": 4,
|
| 28 |
+
"first_k_dense_replace": 1,
|
| 29 |
+
"num_hidden_layers": 47,
|
| 30 |
+
"num_key_value_heads": 20,
|
| 31 |
+
"num_nextn_predict_layers": 1,
|
| 32 |
+
"partial_rotary_factor": 1.0,
|
| 33 |
+
"rms_norm_eps": 1e-05,
|
| 34 |
+
"rope_scaling": null,
|
| 35 |
+
"rope_theta": 1000000,
|
| 36 |
+
"tie_word_embeddings": false,
|
| 37 |
+
"dtype": "bfloat16",
|
| 38 |
+
"transformers_version": "5.0.0rc0",
|
| 39 |
+
"q_lora_rank": 768,
|
| 40 |
+
"kv_lora_rank": 512,
|
| 41 |
+
"qk_nope_head_dim": 192,
|
| 42 |
+
"qk_rope_head_dim": 64,
|
| 43 |
+
"v_head_dim": 256,
|
| 44 |
+
"vocab_size": 154880,
|
| 45 |
+
"quantization_config": {
|
| 46 |
+
"modules_to_not_convert": [
|
| 47 |
+
"model.layers.*.self_attn",
|
| 48 |
+
"model.layers.*.mlp.gate",
|
| 49 |
+
"model.embed_tokens",
|
| 50 |
+
"lm_head"
|
| 51 |
+
],
|
| 52 |
+
"quant_method": "mxfp4"
|
| 53 |
+
}
|
| 54 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
154820,
|
| 5 |
+
154827,
|
| 6 |
+
154829
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 154820,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"transformers_version": "5.0.0.dev0"
|
| 11 |
+
}
|
model-00000-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cec1e41cc4ba50483dc9c314b62ef2b82f65e851cea211314ace9ebaecb2dcbc
|
| 3 |
+
size 5358627984
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38b96250162478b63280eef0ddbbb2a72c53a26b8238a1d10ff711a842fc401a
|
| 3 |
+
size 5251542160
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7555b79f54d6f41e672a9770f8f9773992a5bd2b267fb1f9cc735781d0293296
|
| 3 |
+
size 5305030152
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d4b34764f08877889321bfe4ca4f872b438038f711e99dde3510c5f1860f39a7
|
| 3 |
+
size 4865219512
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,966 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
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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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version https://git-lfs.github.com/spec/v1
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size 20217442
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tokenizer_config.json
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| 1 |
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{
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| 2 |
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|
| 3 |
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