Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* 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
+quantization_config.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,41 +1,45 @@
 ---
-base_model: TheDrummer/GLM-Steam-106B-A12B-v1
-base_model_relation: quantized
-quantized_by: ArtusDev
-tags:
-- exl3
+base_model:
+- zai-org/GLM-4.5-Air
 ---
+# Join our Discord! https://discord.gg/BeaverAI
+## Nearly 7000 members strong 💪 A hub for users and makers alike!
+---
+### Thank you to everyone who subscribed through [Patreon](https://www.patreon.com/TheDrummer). Your suppprt helps me chug along in this brave new world.
+---
+
+[Drummer](https://huggingface.co/TheDrummer) proudly presents...
+
+# GLM Steam 106B A12B v1 🚂
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5c2e/wA7lAK3BmAuwx-JzOrtGx.png)
+
+> The smoke and the fire and the speed, the action and the sound, and everything that goes together, the steam engine is the most beautiful machine that we ever made, there's just nothing like it.
+
+## Usage
+
+- GLM-4 (Think or No Thinking)
+
+## Description
 
-## EXL3 Quants of TheDrummer/GLM-Steam-106B-A12B-v1
+> Steam v1 has got the juice
 
-EXL3 quants of [TheDrummer/GLM-Steam-106B-A12B-v1](https://huggingface.co/TheDrummer/GLM-Steam-106B-A12B-v1) using <a href="https://github.com/turboderp-org/exllamav3/">exllamav3</a> for quantization.
+> Characters are as vivid as the original GLM-Air, though prose is much more enticing.
 
-### Quants
-| Quant(Revision) | Bits per Weight | Head Bits |
-| -------- | ---------- | --------- |
-| [2.5_H6](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/2.5bpw_H6) | 2.5 | 6 |
-| [3.0_H6](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/3.0bpw_H6) | 3.0 | 6 |
-| [3.5_H6](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/3.5bpw_H6) | 3.5 | 6 |
-| [4.0_H6](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/4.0bpw_H6) | 4.0 | 6 |
-| [4.25_H6](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/4.25bpw_H6) | 4.25 | 6 |
-| [5.0_H6](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/5.0bpw_H6) | 5.0 | 6 |
-| [6.0_H6](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/6.0bpw_H6) | 6.0 | 6 |
-| [8.0_H8](https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3/tree/8.0bpw_H8) | 8.0 | 8 |
+> Damn okay this model is actually pretty good. I don't have enough vram to test it on longer chats to 16k, but on 6k chats it's looking good and without deepseek's slop.
 
-### Downloading quants with huggingface-cli
+> this model has a unique way of speaking. imo it's kept the same "soul" of the writing as Air but with more creativity and willingness to be hor -
 
-<details>
-  <summary>Click to view download instructions</summary>
+> this model is fun! :3
 
-Install hugginface-cli:
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f2fd1c25b848bd061b5c2e/cqJSO4OvdaHVQ3ULwUrt6.png)
 
-```bash
-pip install -U "huggingface_hub[cli]"
-```
+## Links
+- Original: https://huggingface.co/TheDrummer/GLM-Steam-106B-A12B-v1 
+- GGUF: https://huggingface.co/TheDrummer/GLM-Steam-106B-A12B-v1-GGUF
+- iMatrix (recommended): https://huggingface.co/bartowski/TheDrummer_GLM-Steam-106B-A12B-v1-GGUF
+- EXL3: https://huggingface.co/ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3
 
-Download quant by targeting the specific quant revision (branch):
+## Special Thanks
 
-```
-huggingface-cli download ArtusDev/TheDrummer_GLM-Steam-106B-A12B-v1-EXL3 --revision "5.0bpw_H6" --local-dir ./
-```
-</details>
+`config-v1b`

chat_template.jinja

@@ -0,0 +1,104 @@
+[gMASK]<sop>
+{%- if tools -%}
+<|system|>
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{% for tool in tools %}
+{{ tool | tojson(ensure_ascii=False) }}
+{% endfor %}
+</tools>
+
+For each function call, output the function name and arguments within the following XML format:
+<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 -%}
+{%- macro visible_text(content) -%}
+    {%- if content is string -%}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping -%}
+        {%- for item in content -%}
+            {%- if item is mapping and item.type == 'text' -%}
+                {{- item.text }}
+            {%- elif item is string -%}
+                {{- item }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{- content }}
+    {%- endif -%}
+{%- endmacro -%}
+{%- set ns = namespace(last_user_index=-1) %}
+{%- for m in messages %}
+    {%- if m.role == 'user' %}
+        {% set ns.last_user_index = loop.index0 -%}
+    {%- endif %}
+{%- endfor %}
+{% for m in messages %}
+{%- if m.role == 'user' -%}<|user|>
+{{ visible_text(m.content) }}
+{{- '/nothink' if (enable_thinking is defined and not enable_thinking and not visible_text(m.content).endswith("/nothink")) else '' -}}
+{%- elif m.role == 'assistant' -%}
+<|assistant|>
+{%- set reasoning_content = '' %}
+{%- set content = visible_text(m.content) %}
+{%- if m.reasoning_content is string %}
+    {%- set reasoning_content = m.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_user_index and reasoning_content -%}
+{{ '\n<think>' + reasoning_content.strip() +  '</think>'}}
+{%- else -%}
+{{ '\n<think></think>' }}
+{%- endif -%}
+{%- if content.strip() -%}
+{{ '\n' + content.strip() }}
+{%- endif -%}
+{% if m.tool_calls %}
+{% for tc in m.tool_calls %}
+{%- if tc.function %}
+    {%- set tc = tc.function %}
+{%- endif %}
+{{ '\n<tool_call>' + tc.name }}
+{% 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 %}
+{% endif %}
+{%- elif m.role == 'tool' -%}
+{%- if m.content is string -%}
+{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+    {{- '<|observation|>' }}
+{%- endif %}
+{{- '\n<tool_response>\n' }}
+{{- m.content }}
+{{- '\n</tool_response>' }}
+{%- else -%}
+<|observation|>{% for tr in m.content %}
+
+<tool_response>
+{{ tr.output if tr.output is defined else tr }}
+</tool_response>{% endfor -%}
+{% endif -%}
+{%- elif m.role == 'system' -%}
+<|system|>
+{{ visible_text(m.content) }}
+{%- endif -%}
+{%- endfor -%}
+<|endoftext|>
+{%- if add_generation_prompt -%}
+    <|assistant|>{{- '\n<think></think>' if (enable_thinking is defined and not enable_thinking) else '' -}}
+{%- endif -%}

config.json

@@ -0,0 +1,50 @@
+{
+    "architectures": [
+        "Glm4MoeForCausalLM"
+    ],
+    "attention_bias": true,
+    "attention_dropout": 0.0,
+    "eos_token_id": 151329,
+    "first_k_dense_replace": 1,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 10944,
+    "max_position_embeddings": 131072,
+    "model_type": "glm4_moe",
+    "moe_intermediate_size": 1408,
+    "n_group": 1,
+    "n_routed_experts": 128,
+    "n_shared_experts": 1,
+    "norm_topk_prob": true,
+    "num_attention_heads": 96,
+    "num_experts_per_tok": 8,
+    "num_hidden_layers": 46,
+    "num_key_value_heads": 8,
+    "num_nextn_predict_layers": 1,
+    "pad_token_id": 151329,
+    "partial_rotary_factor": 0.5,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 1000000,
+    "routed_scaling_factor": 1.0,
+    "tie_word_embeddings": false,
+    "topk_group": 1,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.55.2",
+    "use_cache": true,
+    "use_qk_norm": false,
+    "vocab_size": 151552,
+    "quantization_config": {
+        "quant_method": "exl3",
+        "version": "0.0.6",
+        "bits": 6.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "cols": 2048
+        },
+        "out_scales": "auto"
+    }
+}

generation_config.json

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+  "do_sample": true,
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+  "transformers_version": "4.55.2"
+}

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special_tokens_map.json

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+      "normalized": false,
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+    "[sMASK]",
+    "<sop>",
+    "<eop>",
+    "<|system|>",
+    "<|user|>",
+    "<|assistant|>",
+    "<|observation|>",
+    "<|begin_of_image|>",
+    "<|end_of_image|>",
+    "<|begin_of_video|>",
+    "<|end_of_video|>",
+    "<|begin_of_audio|>",
+    "<|end_of_audio|>",
+    "<|begin_of_transcription|>",
+    "<|end_of_transcription|>",
+    "<|code_prefix|>",
+    "<|code_middle|>",
+    "<|code_suffix|>",
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+  "do_lower_case": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
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+  "pad_token": "<|endoftext|>",
+  "padding_side": "left",
+  "remove_space": false,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}