Instructions to use TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill")
model = AutoModelForCausalLM.from_pretrained("TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill

SGLang

How to use TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio

How to use TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill",
    max_seq_length=2048,
)

Docker Model Runner
How to use TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill with Docker Model Runner:
```
docker model run hf.co/TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

GLM 4.7 Flash x Claude 4.5 Opus (High Reasoning)

This model was trained on a small reasoning dataset of Claude Opus 4.5, with reasoning effort set to High.

🧬 Datasets:
- TeichAI/claude-4.5-opus-high-reasoning-250x
🏗 Base Model:
- unsloth/GLM-4.7-Flash
⚡ Use cases:
- Coding
- Science
- Deep Research
∑ Stats (Dataset)
- Costs: $ 52.30 (USD)
- Total tokens (input + output): 2.13 M

How to run

For specific instructions/commands to serve this model locally using vLLM, SGLang, or transformers please see the instructions from the original model's card

For detailed instructions getting started with Llama.cpp please refer to the unsloth guide

Sampling Parameters

z-ai recommends the following sampling parameters for this model:

Default Settings (Most Tasks)	Terminal Bench, SWE Bench Verified
temperature = 1.0	temperature = 0.7
top_p = 0.95	top_p = 1.0
repeat penalty = disabled or 1.0	repeat penalty = disabled or 1.0

For general use-case: --temp 1.0 --top-p 0.95
For tool-calling: --temp 0.7 --top-p 1.0
If using llama.cpp, set --min-p 0.01 as llama.cpp's default is 0.05
Sometimes you'll need to experiment what numbers work best for your use-case.

If you experience any issues with these parameters, some users have reported better results when lowering temperature to 0.5-0.6

Benchmarks

Model Comparison vs Base

Base model: zai-org/GLM-4.7-Flash

Benchmark	Base Score	Distilled Score	Delta	Delta %
arc_challenge	0.224403	0.217577	-0.00682594	-0.0304183
gpqa_diamond_zeroshot	0.262626	0.292929	0.030303	0.115385
hellaswag	0.257817	0.256722	-0.0010954	-0.00424874
ifeval	0.109057	0.112754	0.00369686	0.0338983
mmlu	0.229454	0.240706	0.011252	0.0490379
truthfulqa_mc2	0.467552	0.466805	-0.000747457	-0.00159866
winogrande	0.468824	0.504341	0.035517	0.0757576

Aggregate Comparison

Benchmarks Compared	Wins vs Base	Ties vs Base	Losses vs Base	Avg Delta
7	4	0	3	0.0103

Detailed Results

Model	Benchmark	Score	Total Questions	Total Correct
zai-org/GLM-4.7-Flash	winogrande	0.468824	1267	594
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	winogrande	0.504341	1267	639
zai-org/GLM-4.7-Flash	arc_challenge	0.224403	1172	263
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	arc_challenge	0.217577	1172	255
zai-org/GLM-4.7-Flash	hellaswag	0.257817	10042	2589
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	hellaswag	0.256722	10042	2578
zai-org/GLM-4.7-Flash	truthfulqa_mc2	0.467552	817	381
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	truthfulqa_mc2	0.466805	817	381
zai-org/GLM-4.7-Flash	mmlu	0.229454	14042	3222
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	mmlu	0.240706	14042	3380
zai-org/GLM-4.7-Flash	ifeval	0.109057	541	59
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	ifeval	0.112754	541	61
zai-org/GLM-4.7-Flash	gpqa_diamond_zeroshot	0.262626	198	52
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	gpqa_diamond_zeroshot	0.292929	198	58

MMLU Subject Breakdown

MMLU Detailed Results

Model	Subject	Benchmark	Score	Total Questions	Total Correct
zai-org/GLM-4.7-Flash	formal_logic	mmlu_formal_logic	0.285714	126	36
zai-org/GLM-4.7-Flash	high_school_european_history	mmlu_high_school_european_history	0.218182	165	36
zai-org/GLM-4.7-Flash	high_school_us_history	mmlu_high_school_us_history	0.25	204	51
zai-org/GLM-4.7-Flash	high_school_world_history	mmlu_high_school_world_history	0.270042	237	63
zai-org/GLM-4.7-Flash	international_law	mmlu_international_law	0.239669	121	29
zai-org/GLM-4.7-Flash	jurisprudence	mmlu_jurisprudence	0.259259	108	28
zai-org/GLM-4.7-Flash	logical_fallacies	mmlu_logical_fallacies	0.220859	163	36
zai-org/GLM-4.7-Flash	moral_disputes	mmlu_moral_disputes	0.248555	346	86
zai-org/GLM-4.7-Flash	moral_scenarios	mmlu_moral_scenarios	0.237989	895	213
zai-org/GLM-4.7-Flash	philosophy	mmlu_philosophy	0.186495	311	58
zai-org/GLM-4.7-Flash	prehistory	mmlu_prehistory	0.216049	324	70
zai-org/GLM-4.7-Flash	professional_law	mmlu_professional_law	0.245763	1534	377
zai-org/GLM-4.7-Flash	world_religions	mmlu_world_religions	0.321637	171	55
zai-org/GLM-4.7-Flash	business_ethics	mmlu_business_ethics	0.3	100	30
zai-org/GLM-4.7-Flash	clinical_knowledge	mmlu_clinical_knowledge	0.215094	265	57
zai-org/GLM-4.7-Flash	college_medicine	mmlu_college_medicine	0.208092	173	36
zai-org/GLM-4.7-Flash	global_facts	mmlu_global_facts	0.18	100	18
zai-org/GLM-4.7-Flash	human_aging	mmlu_human_aging	0.313901	223	70
zai-org/GLM-4.7-Flash	management	mmlu_management	0.174757	103	18
zai-org/GLM-4.7-Flash	marketing	mmlu_marketing	0.290598	234	68
zai-org/GLM-4.7-Flash	medical_genetics	mmlu_medical_genetics	0.3	100	30
zai-org/GLM-4.7-Flash	miscellaneous	mmlu_miscellaneous	0.237548	783	186
zai-org/GLM-4.7-Flash	nutrition	mmlu_nutrition	0.22549	306	69
zai-org/GLM-4.7-Flash	professional_accounting	mmlu_professional_accounting	0.234043	282	66
zai-org/GLM-4.7-Flash	professional_medicine	mmlu_professional_medicine	0.183824	272	50
zai-org/GLM-4.7-Flash	virology	mmlu_virology	0.283133	166	47
zai-org/GLM-4.7-Flash	econometrics	mmlu_econometrics	0.236842	114	27
zai-org/GLM-4.7-Flash	high_school_geography	mmlu_high_school_geography	0.176768	198	35
zai-org/GLM-4.7-Flash	high_school_government_and_politics	mmlu_high_school_government_and_politics	0.196891	193	38
zai-org/GLM-4.7-Flash	high_school_macroeconomics	mmlu_high_school_macroeconomics	0.202564	390	79
zai-org/GLM-4.7-Flash	high_school_microeconomics	mmlu_high_school_microeconomics	0.214286	238	51
zai-org/GLM-4.7-Flash	high_school_psychology	mmlu_high_school_psychology	0.192661	545	105
zai-org/GLM-4.7-Flash	human_sexuality	mmlu_human_sexuality	0.259542	131	34
zai-org/GLM-4.7-Flash	professional_psychology	mmlu_professional_psychology	0.25	612	153
zai-org/GLM-4.7-Flash	public_relations	mmlu_public_relations	0.218182	110	24
zai-org/GLM-4.7-Flash	security_studies	mmlu_security_studies	0.187755	245	46
zai-org/GLM-4.7-Flash	sociology	mmlu_sociology	0.238806	201	48
zai-org/GLM-4.7-Flash	us_foreign_policy	mmlu_us_foreign_policy	0.28	100	28
zai-org/GLM-4.7-Flash	abstract_algebra	mmlu_abstract_algebra	0.22	100	22
zai-org/GLM-4.7-Flash	anatomy	mmlu_anatomy	0.185185	135	25
zai-org/GLM-4.7-Flash	astronomy	mmlu_astronomy	0.177632	152	27
zai-org/GLM-4.7-Flash	college_biology	mmlu_college_biology	0.256944	144	37
zai-org/GLM-4.7-Flash	college_chemistry	mmlu_college_chemistry	0.2	100	20
zai-org/GLM-4.7-Flash	college_computer_science	mmlu_college_computer_science	0.26	100	26
zai-org/GLM-4.7-Flash	college_mathematics	mmlu_college_mathematics	0.21	100	21
zai-org/GLM-4.7-Flash	college_physics	mmlu_college_physics	0.215686	102	22
zai-org/GLM-4.7-Flash	computer_security	mmlu_computer_security	0.28	100	28
zai-org/GLM-4.7-Flash	conceptual_physics	mmlu_conceptual_physics	0.26383	235	62
zai-org/GLM-4.7-Flash	electrical_engineering	mmlu_electrical_engineering	0.241379	145	35
zai-org/GLM-4.7-Flash	elementary_mathematics	mmlu_elementary_mathematics	0.208995	378	79
zai-org/GLM-4.7-Flash	high_school_biology	mmlu_high_school_biology	0.174194	310	54
zai-org/GLM-4.7-Flash	high_school_chemistry	mmlu_high_school_chemistry	0.152709	203	31
zai-org/GLM-4.7-Flash	high_school_computer_science	mmlu_high_school_computer_science	0.25	100	25
zai-org/GLM-4.7-Flash	high_school_mathematics	mmlu_high_school_mathematics	0.211111	270	57
zai-org/GLM-4.7-Flash	high_school_physics	mmlu_high_school_physics	0.198675	151	29
zai-org/GLM-4.7-Flash	high_school_statistics	mmlu_high_school_statistics	0.152778	216	33
zai-org/GLM-4.7-Flash	machine_learning	mmlu_machine_learning	0.321429	112	36
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	formal_logic	mmlu_formal_logic	0.206349	126	26
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_european_history	mmlu_high_school_european_history	0.206061	165	34
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_us_history	mmlu_high_school_us_history	0.245098	204	50
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_world_history	mmlu_high_school_world_history	0.270042	237	63
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	international_law	mmlu_international_law	0.239669	121	29
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	jurisprudence	mmlu_jurisprudence	0.305556	108	33
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	logical_fallacies	mmlu_logical_fallacies	0.214724	163	35
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	moral_disputes	mmlu_moral_disputes	0.271676	346	93
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	moral_scenarios	mmlu_moral_scenarios	0.222346	895	199
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	philosophy	mmlu_philosophy	0.228296	311	71
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	prehistory	mmlu_prehistory	0.271605	324	88
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	professional_law	mmlu_professional_law	0.252934	1534	388
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	world_religions	mmlu_world_religions	0.280702	171	48
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	business_ethics	mmlu_business_ethics	0.3	100	30
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	clinical_knowledge	mmlu_clinical_knowledge	0.267925	265	71
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	college_medicine	mmlu_college_medicine	0.213873	173	37
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	global_facts	mmlu_global_facts	0.32	100	32
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	human_aging	mmlu_human_aging	0.327354	223	73
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	management	mmlu_management	0.213592	103	22
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	marketing	mmlu_marketing	0.286325	234	67
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	medical_genetics	mmlu_medical_genetics	0.35	100	35
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	miscellaneous	mmlu_miscellaneous	0.254151	783	199
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	nutrition	mmlu_nutrition	0.222222	306	68
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	professional_accounting	mmlu_professional_accounting	0.244681	282	69
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	professional_medicine	mmlu_professional_medicine	0.183824	272	50
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	virology	mmlu_virology	0.325301	166	54
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	econometrics	mmlu_econometrics	0.280702	114	32
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_geography	mmlu_high_school_geography	0.207071	198	41
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_government_and_politics	mmlu_high_school_government_and_politics	0.176166	193	34
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_macroeconomics	mmlu_high_school_macroeconomics	0.217949	390	85
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_microeconomics	mmlu_high_school_microeconomics	0.222689	238	53
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_psychology	mmlu_high_school_psychology	0.209174	545	114
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	human_sexuality	mmlu_human_sexuality	0.21374	131	28
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	professional_psychology	mmlu_professional_psychology	0.259804	612	159
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	public_relations	mmlu_public_relations	0.309091	110	34
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	security_studies	mmlu_security_studies	0.159184	245	39
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	sociology	mmlu_sociology	0.253731	201	51
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	us_foreign_policy	mmlu_us_foreign_policy	0.25	100	25
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	abstract_algebra	mmlu_abstract_algebra	0.23	100	23
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	anatomy	mmlu_anatomy	0.251852	135	34
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	astronomy	mmlu_astronomy	0.164474	152	25
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	college_biology	mmlu_college_biology	0.263889	144	38
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	college_chemistry	mmlu_college_chemistry	0.22	100	22
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	college_computer_science	mmlu_college_computer_science	0.22	100	22
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	college_mathematics	mmlu_college_mathematics	0.25	100	25
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	college_physics	mmlu_college_physics	0.245098	102	25
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	computer_security	mmlu_computer_security	0.24	100	24
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	conceptual_physics	mmlu_conceptual_physics	0.340426	235	80
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	electrical_engineering	mmlu_electrical_engineering	0.193103	145	28
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	elementary_mathematics	mmlu_elementary_mathematics	0.240741	378	91
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_biology	mmlu_high_school_biology	0.190323	310	58
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_chemistry	mmlu_high_school_chemistry	0.216749	203	44
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_computer_science	mmlu_high_school_computer_science	0.19	100	19
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_mathematics	mmlu_high_school_mathematics	0.240741	270	65
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_physics	mmlu_high_school_physics	0.172185	151	26
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	high_school_statistics	mmlu_high_school_statistics	0.194444	216	42
TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill	machine_learning	mmlu_machine_learning	0.241071	112	27

Benchmark Config

Quantization: 4bit
Temperature: 0.0
Top P: 1.0
Top K: 0
Repetition Penalty: 1.0

All results were obtained through the official lm evaluation harness

This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month: 95

Safetensors

Model size

31B params

Tensor type

BF16

F32

Model tree for TeichAI/GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill

Base model

zai-org/GLM-4.7-Flash

Finetuned

unsloth/GLM-4.7-Flash

Finetuned

(17)

this model

Finetunes

4 models

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14 models

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GLM-4.7-Flash-Claude-Opus-4.5-High-Reasoning-Distill